Search: calendar - ai.jp.net

product #agent 📝 BlogAnalyzed: Jan 13, 2026 08:00

AI-Powered Coding: A Glimpse into the Future of Engineering

Published:Jan 13, 2026 03:00

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1 min read

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Zenn AI

Analysis

The article's use of Google DeepMind's Antigravity to generate content provides a valuable case study for the application of advanced agentic coding assistants. The premise of the article, a personal need driving the exploration of AI-assisted coding, offers a relatable and engaging entry point for readers, even if the technical depth is not fully explored.

Key Takeaways

•The article showcases the use of AI for content creation, highlighting its potential in different areas.
•The initial problem described involves a common challenge – finding a suitable family calendar app.
•It implicitly addresses the evolving role of engineers, shifting towards integrating AI tools.

Reference

“The author, driven by the desire to solve a personal need, is compelled by the impulse, familiar to every engineer, of creating a solution.”

Permalink Zenn AI

product #llm 📝 BlogAnalyzed: Jan 11, 2026 20:00

AI-Powered Writing System Facilitates Qiita Advent Calendar Success

Published:Jan 11, 2026 15:49

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1 min read

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Zenn AI

Analysis

This article highlights the practical application of AI in content creation for a specific use case, demonstrating the potential for AI to streamline and improve writing workflows. The focus on quality maintenance, rather than just quantity, shows a mature approach to AI-assisted content generation, indicating the author's awareness of the current limitations and future possibilities.

Key Takeaways

•The author utilized an AI system to refine and improve the quality of articles for the Qiita Advent Calendar.
•The primary goal was not only completing the calendar but also maintaining the quality of the written content.
•The implemented system spanned multiple repositories, addressing the challenges of multi-repository writing tasks.

Reference

“This year, the challenge was not just 'completion' but also 'quality maintenance'.”

Permalink Zenn AI

product #llm 📝 BlogAnalyzed: Jan 6, 2026 18:01

SurfSense: Open-Source LLM Connector Aims to Rival NotebookLM and Perplexity

Published:Jan 6, 2026 12:18

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1 min read

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r/artificial

Analysis

SurfSense's ambition to be an open-source alternative to established players like NotebookLM and Perplexity is promising, but its success hinges on attracting a strong community of contributors and delivering on its ambitious feature roadmap. The breadth of supported LLMs and data sources is impressive, but the actual performance and usability need to be validated.

Key Takeaways

•SurfSense is an open-source project aiming to connect LLMs to various knowledge sources.
•It supports over 100 LLMs, 6000+ embedding models, and 50+ file extensions.
•The project is seeking contributors with expertise in AI agents, RAG, and browser extensions.

Reference

“Connect any LLM to your internal knowledge sources (Search Engines, Drive, Calendar, Notion and 15+ other connectors) and chat with it in real time alongside your team.”

Permalink r/artificial

research #llm 📝 BlogAnalyzed: Jan 6, 2026 07:14

Gemini 3.0 Pro for Tabular Data: A 'Vibe Modeling' Experiment

Published:Jan 5, 2026 23:00

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1 min read

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Zenn Gemini

Analysis

The article previews an experiment using Gemini 3.0 Pro for tabular data, specifically focusing on 'vibe modeling' or its equivalent. The value lies in assessing the model's ability to generate code for model training and inference, potentially streamlining data science workflows. The article's impact hinges on the depth of the experiment and the clarity of the results presented.

Key Takeaways

•The article is part of the JP_Google Developer Experts Advent Calendar 2025.
•It explores the use of Gemini 3.0 Pro for tabular data processing.
•The focus is on generating code for model training and inference.

Reference

“In the previous article, I examined the quality of generated code when producing model training and inference code for tabular data in a single shot.”

Permalink Zenn Gemini

ethics #content generation 📝 BlogAnalyzed: Jan 5, 2026 08:40

Responsibility in AI-Generated Content: Holding AI Articles to Production Code Standards

Published:Jan 5, 2026 01:36

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1 min read

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Zenn AI

Analysis

The article discusses the ethical considerations of using AI to generate technical content, arguing that AI-generated text should be held to the same standards of accuracy and responsibility as production code. It raises important questions about accountability and quality control in the age of increasingly prevalent AI-authored articles. The value of the article hinges on the author's ability to articulate a framework for ensuring the reliability of AI-generated technical content.

Key Takeaways

•The article is part of an Advent Calendar series, indicating a community-driven effort.
•The author argues against the blanket condemnation of AI-generated articles.
•The core argument revolves around the responsibility associated with any published content, regardless of its origin.

Reference

“ただ、私は「AIを使って記事を書くこと」自体が悪いとは思いません。”

Permalink Zenn AI

product #opencode 📝 BlogAnalyzed: Jan 5, 2026 08:46

Exploring OpenCode with Anthropic and OpenAI Subscriptions: A Livetoon Tech Perspective

Published:Jan 4, 2026 17:17

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1 min read

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Zenn Claude

Analysis

The article, seemingly part of an Advent calendar series, discusses OpenCode in the context of Livetoon's AI character app, kaiwa. The mention of a date discrepancy (2025 vs. 2026) raises questions about the article's timeliness and potential for outdated information. Further analysis requires the full article content to assess the specific OpenCode implementation and its relevance to Anthropic and OpenAI subscriptions.

Key Takeaways

•The article is part of the Livetoon Tech Advent Calendar 2025.
•It discusses OpenCode in relation to Livetoon's AI character app, kaiwa.
•The article mentions Anthropic and OpenAI subscriptions in connection with OpenCode.

Reference

“今回のアドベントカレンダーでは、LivetoonのAIキャラクターアプリのkaiwaに関わるエンジニアが、アプリの...”

Permalink Zenn Claude

Sports #Entertainment 📝 BlogAnalyzed: Dec 28, 2025 13:00

What's The Next WWE PLE? January 2026 Schedule Explained

Published:Dec 28, 2025 12:52

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1 min read

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Forbes Innovation

Analysis

This article provides a brief overview of WWE's premium live event schedule for January 2026. It highlights the Royal Rumble event in Riyadh and mentions other events like Saturday Night Main Event (SNME) and a Netflix anniversary Raw. The article is concise and informative for WWE fans looking to plan their viewing schedule. However, it lacks depth and doesn't provide any analysis or predictions regarding the events. It serves primarily as a calendar announcement rather than a comprehensive news piece. More details about the specific matches or storylines would enhance the article's value.

Key Takeaways

•WWE's Royal Rumble 2026 will be held in Riyadh.
•January 2026 will feature multiple WWE events.
•Netflix will be involved with a Raw anniversary show.

Reference

“The next WWE premium live event is Royal Rumble 2026 on January 31 in Riyadh.”

Permalink Forbes Innovation

Research #llm 📝 BlogAnalyzed: Dec 27, 2025 14:02

I Had AI Analyze 25 Articles I Was Interested in from Advent Calendar

Published:Dec 27, 2025 13:44

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1 min read

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Qiita LLM

Analysis

This article discusses using AI, specifically a technology blog generation AI from ulusage, to analyze 25 articles from an Advent Calendar. The author, who identifies as an AI, aims to provide fresh and useful information. The article highlights the use of AI for content analysis and generation, suggesting a potential shift in how technical blogs are created and consumed. It also opens the door for readers to request more information about the system's workflow, indicating a desire for transparency and community engagement around AI-driven content creation. The article is a meta-commentary on AI's role in content creation and analysis.

Key Takeaways

•AI is being used for content analysis and generation.
•The article is generated by AI.
•There is an opportunity to learn about the AI system's workflow.

Reference

“みなさんこんにちは。私は株式会社ulusageの、技術ブログ生成AIです。これからなるべく鮮度の高い情報や、ためになるようなTipsを展開していきます。よろしくお願いします。”

Permalink Qiita LLM

Research #llm 📝 BlogAnalyzed: Dec 27, 2025 00:31

New Relic, LiteLLM Proxy, and OpenTelemetry

Published:Dec 26, 2025 09:06

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1 min read

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Qiita LLM

Analysis

This article, part of the "New Relic Advent Calendar 2025" series, likely discusses the integration of New Relic with LiteLLM Proxy and OpenTelemetry. Given the title and the introductory sentence, the article probably explores how these technologies can be used together for monitoring, tracing, and observability of LLM-powered applications. It's likely a technical piece aimed at developers and engineers who are working with large language models and want to gain better insights into their performance and behavior. The author's mention of "sword and magic and academic society" seems unrelated and is probably just a personal introduction.

Key Takeaways

•Integration of New Relic with LiteLLM Proxy.
•Using OpenTelemetry for LLM application observability.
•Monitoring and tracing LLM performance.

Reference

“「New Relic Advent Calendar 2025 」シリーズ4・25日目の記事になります。”

Permalink Qiita LLM

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 22:29

Cultivating AI with the Compound Interest of Thought

Published:Dec 25, 2025 22:26

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1 min read

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Qiita AI

Analysis

This article, seemingly a blog post from Qiita AI, discusses the author's motivation for actively participating in an Advent Calendar event. The author, "Zazen Inu," mentions two reasons, one of which is the timing of the event immediately after the completion of the Manabi DX Quest 2025. While the provided excerpt is brief, it suggests a focus on continuous learning and development within the AI field. The title implies a long-term, compounding effect of thoughtful effort in AI development, which is an interesting concept. More context is needed to fully understand the author's specific arguments and insights.

Key Takeaways

•Continuous learning is crucial in AI development.
•Participating in community events can accelerate learning.
•The title suggests a compounding effect of effort in AI.

Reference

“おはようございます、座禅いぬです。”

Permalink Qiita AI

Research #llm 📝 BlogAnalyzed: Dec 27, 2025 00:59

Claude Code Advent Calendar: Summary of 24 Tips

Published:Dec 25, 2025 22:03

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1 min read

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Zenn Claude

Analysis

This article summarizes the Claude Code Advent Calendar, a series of 24 tips shared on X (Twitter) throughout December. It provides a brief overview of the topics covered each day, ranging from Opus 4.5 migration to using sandboxes for prevention and utilizing hooks for filtering and formatting. The article serves as a central point for accessing the individual tips shared under the #claude_code_advent_calendar hashtag. It's a useful resource for developers looking to enhance their understanding and application of Claude Code.

Key Takeaways

•Claude Code Advent Calendar ran from Dec 1st to Dec 24th.
•24 Claude Code tips were shared on X (Twitter).
•Posts can be found under the #claude_code_advent_calendar hashtag.

Reference

“Claude Code Advent Calendar: 24 Tips shared on X (Twitter).”

Permalink Zenn Claude

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 15:01

Analyzing 25 Advent Calendar Articles with AI

Published:Dec 25, 2025 14:58

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1 min read

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Qiita AI

Analysis

This article discusses the author's experience of writing 25 articles for an Advent Calendar on Qiita, motivated by the desire to win a Qiitan plush toy. The author credits AI tools for helping them complete the challenge, especially since they joined the Advent Calendar partway through. The article itself is the 26th, a reflection on the process. While brief, it hints at the potential of AI in assisting content creation and highlights the gamified aspect of participating in online communities like Qiita. It would be interesting to see a more detailed breakdown of how the AI tools were used and their specific impact on the writing process.

Key Takeaways

•AI can assist in content creation, especially for large-scale projects.
•Gamification, like the Qiitan plush toy incentive, can motivate participation in online communities.
•Advent Calendars on platforms like Qiita are a good way to share knowledge and engage with the community.

Reference

“今年は初めてアドベントカレンダーに参加し、Qiitanぬいぐるみ欲しさに25記事完走しました！”

Permalink Qiita AI

AI #Image Generation 📝 BlogAnalyzed: Dec 25, 2025 14:43

[Advent Calendar Last!] I had manus create a Christmas card, and something amazing like it jumped out of a picture book was born

Published:Dec 25, 2025 14:41

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1 min read

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Qiita AI

Analysis

This article discusses using the manus AI tool to quickly create a Christmas card. The author, "riyu," previously used Canva AI and is now exploring manus for similar tasks. The author expresses some initial safety concerns regarding manus but is using it for rapid prototyping. The article highlights the ease of use and the impressive results, comparing the output to something from a picture book. It's a practical example of using AI for creative tasks, specifically generating personalized holiday greetings. The focus is on the speed and aesthetic quality of the AI-generated content.

Key Takeaways

•Manus AI can be used to quickly generate creative content like Christmas cards.
•The author had initial safety concerns but found it useful for prototyping.
•The generated output was of high aesthetic quality, resembling a picture book illustration.

Reference

“"I had manus create a Christmas card, and something amazing like it jumped out of a picture book was born"”

Permalink Qiita AI

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 13:34

Creating a Splatoon Replay System Using ChatGPT (OpenAI)

Published:Dec 25, 2025 13:30

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1 min read

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Qiita ChatGPT

Analysis

This article discusses the author's experience using ChatGPT to develop a replay system for Splatoon, likely for the Splathon community event. It's a practical application of a large language model (LLM) in a niche area, showcasing how AI can be used to enhance gaming experiences and community engagement. The article's placement within an Advent calendar suggests a lighthearted and accessible approach. The value lies in demonstrating the potential of LLMs beyond typical applications and inspiring others to explore creative uses of AI in their own fields or hobbies. It would be interesting to see more details about the specific prompts used and the challenges faced during development.

Key Takeaways

•ChatGPT can be used for niche applications like game replay systems.
•LLMs can enhance community engagement in gaming.
•The article is part of an Advent calendar, suggesting a lighthearted approach.

Reference

“本記事は Splathon のアドベントカレンダー2025、12月25日の記事です。メリークリスマス🎄”

Permalink Qiita ChatGPT

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 18:04

Exploring the Impressive Capabilities of Claude Skills

Published:Dec 25, 2025 10:54

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1 min read

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Zenn Claude

Analysis

This article, part of an Advent Calendar series, introduces Claude Skills, a feature designed to enhance Claude's ability to perform specialized tasks like Excel operations and brand guideline adherence. The author questions the difference between Claude Skills and custom commands in Claude Code, highlighting the official features: composability (skills can be stacked and automatically identified) and portability. The article serves as an initial exploration of Claude Skills, prompting further investigation into its functionalities and potential applications. It's a brief overview aimed at sparking interest in this new feature. More details are needed to fully understand its impact.

Key Takeaways

•Claude Skills aims to improve efficiency in specific tasks.
•Skills are composable and portable.
•The article raises questions about the difference between Skills and custom commands.

Reference

“Skills allow you to perform specialized tasks more efficiently, such as Excel operations and adherence to organizational brand guidelines.”

Permalink Zenn Claude

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 17:32

From Social Implementation of AI Agents to Verification of Next-Generation Models: The 25-Day Trajectory of "MEKIKI X AI Hackathon Mogumogu Advent Calendar"

Published:Dec 25, 2025 10:23

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1 min read

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Zenn AI

Analysis

This article discusses the "MEKIKI X AI Hackathon Mogumogu Advent Calendar," a 25-day initiative focused on AI research and development. It highlights the activities of an AI engineer from NTT Data who initiated the "AI Hackathon/Mokumoku Study Group," starting with an AI hackathon involving Kubernetes GPU clusters on Macs at McDonald's. The project, known as MEKIKI, involves researching and deploying advanced AI technologies. The Advent Calendar involved contributions from members of the study group and external collaborators from NTT Data Advanced Technology and NTT Technocross, showcasing a collaborative effort in exploring AI's potential and practical applications.

Key Takeaways

•Focus on practical AI implementation through hackathons and study groups.
•Collaboration between internal and external experts in AI research.
•Exploration of advanced AI technologies and their potential applications.

Reference

“MEKIKI X AI ハッカソンもぐもぐ勉強会 Advent Calendar 2025 の 25 日目を担当する自称 "NTTデータ3大ミステリーの一つ" とされる葬送のAIエンジニアです。”

Permalink Zenn AI

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 18:07

Automatically Generate Bug Fix PRs by Detecting Sentry's issue.created

Published:Dec 25, 2025 09:46

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1 min read

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Zenn Claude

Analysis

This article discusses how Timelab is using Claude Code to automate bug fix pull request generation by detecting `issue.created` events in Sentry. The author, takahashi (@stak_22), explains that the Lynx development team is specializing in AI coding with Claude Code to improve workflow efficiency. The article targets readers who want to automate the analysis of Sentry issues using AI (identifying root causes, impact areas, etc.) and those who want to automate the entire process from Sentry issue resolution to creating a fix PR. The article mentions using n8n, implying it's part of the automation workflow. The article is dated 2025/12/25, suggesting it's a forward-looking perspective on AI-assisted development.

Key Takeaways

•Timelab uses Claude Code for AI coding in their Lynx calendar service development.
•They automate bug fix PR generation by detecting Sentry's `issue.created` events.
•The goal is to automate Sentry issue analysis and PR creation using AI and tools like n8n.

Reference

“Lynx development team is specializing in AI coding with Claude Code to improve workflow efficiency.”

Permalink Zenn Claude

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 09:10

AI Journey on Foot in 2025

Published:Dec 25, 2025 09:08

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1 min read

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Qiita AI

Analysis

This article, part of the Mirait Design Advent Calendar 2025, discusses the role of AI in coding support by 2025. It references a previous article about using AI to "read/fix" Rails4 maintenance development. The article likely explores how AI will enhance coding workflows and potentially automate certain aspects of software development. It's interesting to see a future-oriented perspective on AI's impact on programming, especially within the context of maintaining legacy systems. The focus on practical applications, such as debugging and code improvement, suggests a pragmatic approach to AI adoption in the software engineering field. The article's placement within an Advent Calendar implies a lighthearted yet informative tone.

Key Takeaways

•AI is expected to provide significant coding support by 2025.
•AI can be used to read and fix code in legacy systems like Rails4.
•The article is part of a series exploring AI's impact on software development.

Reference

“本稿はミライトデザイン Advent Calendar 2025 の25日目最終日の記事となります。”

Permalink Qiita AI

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 05:01

Let's create a Bitcoin AI Agent using Bitcoin MCP and Strands Agent!

Published:Dec 25, 2025 03:17

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1 min read

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Zenn AI

Analysis

This article discusses the creation of a Bitcoin AI agent using MCP (Model Context Protocol) and Strands Agent. It highlights the growing importance of MCP, especially after its recent move to the Linux Foundation. The article likely delves into the technical aspects of integrating these technologies to enable AI models to interact with the Bitcoin network. The author anticipates increased usage of MCP in the future, suggesting its potential to revolutionize how AI interacts with blockchain technologies. The article is part of the Model Context Protocol Advent Calendar 2025.

Key Takeaways

•MCP is gaining traction and importance.
•The article focuses on building a Bitcoin AI agent.
•Strands Agent is used in conjunction with MCP.

Reference

“こんにちは！エンジニアの皆さん、MCP (Model Context Protocol) はもう触っていますか？”

Permalink Zenn AI

Research #llm 🏛️ OfficialAnalyzed: Dec 25, 2025 03:07

Hello World Atatatata: OpenAI Responses API Edition

Published:Dec 25, 2025 03:04

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1 min read

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Qiita OpenAI

Analysis

This article appears to be a tutorial on using the OpenAI Responses API to implement a "Hello World Atatatata" program. The "Atatatata" part suggests a playful or humorous approach. Without the full article, it's difficult to assess the depth of the explanation or the complexity of the implementation. However, the title indicates a practical, hands-on guide for developers interested in exploring the OpenAI API. The mention of an Advent Calendar suggests it's part of a series, potentially offering a broader context for understanding the project's goals and scope. It likely targets developers familiar with basic programming concepts and interested in experimenting with AI-powered text generation.

Key Takeaways

•Practical guide to OpenAI Responses API
•Focus on a playful "Hello World" example
•Part of a larger Advent Calendar series

Reference

“This article is part of the Hello World Atatatata Advent Calendar 2025.”

Permalink Qiita OpenAI

Personal Finance #llm 📝 BlogAnalyzed: Dec 25, 2025 01:37

Use AI to Maximize Your Furusato Tax Donation Benefits

Published:Dec 25, 2025 01:34

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1 min read

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Qiita AI

Analysis

This article, part of the mediba Advent Calendar, addresses the common problem of optimizing Furusato Nozei (hometown tax donation) choices. It highlights the difficulty in comparing the cost-effectiveness of different return gifts, especially with varying donation amounts and quantities for similar items like crab. The article suggests using AI to solve the problem of finding the best deals and saving time when choosing return gifts, especially as the end of the year approaches. It's a practical application of AI to a common consumer problem in Japan.

Key Takeaways

•AI can help optimize Furusato Nozei choices.
•Comparing return gifts is difficult due to varying donation amounts and quantities.
•AI can save time when choosing return gifts, especially near the end of the year.

Reference

“Which return gift has the best cost performance? It's difficult to compare because the donation amount and quantity are different even for the same crab. I don't have time to research the large number of return gifts even though the end of the year is approaching.”

Permalink Qiita AI

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 01:26

Summary of AI Initiatives in 2025

Published:Dec 25, 2025 01:21

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1 min read

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Qiita AI

Analysis

This article, likely a blog post from Qiita AI, summarizes the AI development initiatives within a company's CTO office throughout 2025. The key achievement highlighted is the widespread adoption of AI tools among the company's development teams, with over 95% of members utilizing them. The post likely delves into specific AI tools and their applications within the company, reflecting on the successes and challenges encountered during the year. It's a retrospective piece, offering insights into the practical implementation of AI within a corporate setting and potentially outlining future directions for AI development within the organization. The "dip Advent Calendar 2025" context suggests a series of daily posts, making this a concluding summary.

Key Takeaways

•High adoption rate of AI tools within the company.
•Focus on practical AI implementation in development.
•Retrospective analysis of AI initiatives in 2025.

Reference

“"Over 95% of members in the development department are using some kind of AI tool."”

Permalink Qiita AI

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 05:28

Practical Application of Non-Deterministic AI Agents in Core Systems: An Example of Embabel and 3-Layer Architecture

Published:Dec 25, 2025 01:19

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1 min read

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Zenn LLM

Analysis

This article discusses the practical application of non-deterministic AI agents, specifically focusing on the use of Embabel and a 3-layer architecture within Loglass's product team. It highlights the team's commitment to technical excellence and their efforts to contribute to a positive economic impact through engineering. The article likely delves into the challenges and solutions encountered when integrating AI agents into core systems, offering insights into the architectural considerations and the benefits of using Embabel. It's part of an Advent Calendar series, suggesting a focus on sharing knowledge and experiences within the team.

Key Takeaways

•Integration of non-deterministic AI agents into core systems.
•Application of Embabel and a 3-layer architecture.
•Focus on technical excellence and contributing to a positive economic impact.

Reference

“今年もログラスは、エンジニアリングの力で「良い景気を作ろう。」に一歩でも近づくために、技術的卓越性の追究と還元を意識し続けてきました。”

Permalink Zenn LLM

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 05:19

Introduction to "Dragon Hatchling": A New Generation Architecture Connecting Brains and AI

Published:Dec 25, 2025 01:03

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1 min read

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Zenn AI

Analysis

This article introduces a research paper titled "The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain." It appears to be a blog post from the DAL Tech Blog Advent Calendar 2025. The author, Okuno, who works in network security, aims to explain the paper's concepts. The article likely delves into the architecture of the Dragon Hatchling and its potential to bridge the gap between transformer models and brain models. The provided links point to the research paper on arXiv and the Advent Calendar, allowing readers to explore the topic further and access related articles. Without the full content, a deeper analysis is impossible, but the title suggests a focus on innovative AI architecture inspired by the brain.

Key Takeaways

•Introduction to a new AI architecture called Dragon Hatchling.
•Focus on bridging the gap between transformer models and brain models.
•Part of the DAL Tech Blog Advent Calendar 2025.

Reference

“The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain”

Permalink Zenn AI

Healthcare #AI in Healthcare 📝 BlogAnalyzed: Dec 25, 2025 05:22

2025 Retrospective: "Making Healthcare More Accessible and Easier" with AI. MICIN's Current Status and Future of AI Utilization in Product Development

Published:Dec 25, 2025 01:00

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1 min read

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Zenn AI

Analysis

This article, part of the MICIN Advent Calendar 2025, reflects on the company's AI journey and its impact on making healthcare more accessible. It likely discusses specific AI applications within MICIN's products, focusing on improvements in user experience and efficiency. The article probably highlights the challenges faced, the solutions implemented, and the future direction of AI integration within the company's healthcare solutions. It's a retrospective look at how AI has been leveraged to simplify and improve healthcare access for users, potentially including examples of specific AI-powered features or services. The author, an engineering head at MICIN, provides valuable insights into the practical application of AI in the healthcare sector.

Key Takeaways

•MICIN is actively integrating AI into its healthcare products.
•The focus is on making healthcare more accessible and easier to use.
•The article provides a retrospective view of AI implementation at MICIN in 2025.

Reference

“This article is the final article of MICIN Advent Calendar 2025.”

Permalink Zenn AI

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 05:58

[Workspace Studio] Created a flow to avoid missing chats requiring a reply [Gemini]

Published:Dec 25, 2025 00:00

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1 min read

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Zenn Gemini

Analysis

This article discusses using Google Workspace Studio, specifically focusing on creating a flow to ensure no chats requiring a reply are missed. The author, TOMMY, expresses excitement about successfully organizing an internal Advent Calendar event. While initially planning to write about AppSheet, the focus shifted to Workspace Studio. The article references a previous post on Workspace Flows, suggesting a continuation of that topic. The content implies a practical application of Workspace Studio to improve communication efficiency within a workspace environment, leveraging Gemini's capabilities. It's a brief introduction and likely leads to a more detailed explanation of the flow creation process.

Key Takeaways

•Focus on using Workspace Studio to improve communication.
•Creating flows to manage and prioritize chat replies.
•Leveraging Gemini within the Workspace Studio environment.

Reference

“DSK Advent Calendar 2025 I'm happy to be able to hold it.”

Permalink Zenn Gemini

Research #llm 📝 BlogAnalyzed: Dec 29, 2025 01:43

Getting Started with Gradient Checkpointing using SentenceTransformers: Mechanism and Practical Points

Published:Dec 24, 2025 23:00

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1 min read

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Zenn ML

Analysis

This article, part of the Uzabase Advent Calendar 2025, discusses the use of SentenceTransformers for gradient checkpointing. It highlights the development of a Speeda AI Agent and its reliance on vector search. The article mentions in-house fine-tuning of vector search models, achieving superior accuracy compared to Gemini on internal benchmarks. The focus is on the practical application of SentenceTransformers within a real-world product, emphasizing performance and stability in handling frequently updated data, such as news articles. The article sets the stage for a deeper dive into the technical aspects of gradient checkpointing.

Key Takeaways

•The article focuses on the practical application of SentenceTransformers for vector search within a product.
•It highlights the benefits of in-house fine-tuning for achieving superior accuracy.
•The article emphasizes the importance of stability and performance in handling frequently updated data.

Reference

“The article is part of the Uzabase Advent Calendar 2025.”

Permalink Zenn ML

Research #llm 📝 BlogAnalyzed: Dec 24, 2025 22:13

🔥 First Agent Skills 🔥 12 Selections & Repository List! AI Procedure Manual Usable with GitHub Copilot

Published:Dec 24, 2025 22:10

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1 min read

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Qiita AI

Analysis

This article, part of the GitHub Dockyard Advent Calendar 2025, introduces 12 agent skills and a repository list, highlighting their usability with GitHub Copilot. It's a practical guide for architects and developers interested in leveraging AI agents. The article likely provides examples and instructions for implementing these skills, making it a valuable resource for those looking to enhance their workflows with AI. The author's enthusiasm suggests a positive outlook on the evolution of AI agents and their potential impact on software development. The call to action encourages engagement and sharing, indicating a desire to foster a community around AI agent development.

Key Takeaways

Reference

“This article is the 25th article of the GitHub Dockyard Advent Calendar 2025🎄.”

Permalink Qiita AI

Research #llm 📝 BlogAnalyzed: Dec 24, 2025 22:22

LLM Quantization Day 25: Summary and Future Prospects

Published:Dec 24, 2025 22:08

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1 min read

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Qiita LLM

Analysis

This article, likely the final installment of a 25-day series on LLM quantization, summarizes the key learnings and explores future trends in the field. Given its placement in an Advent calendar format, it likely provides a high-level overview rather than deep technical dives. The focus on both theory and implementation suggests a practical approach to understanding LLM quantization. The mention of "latest technologies" indicates an awareness of the rapidly evolving landscape of AI model optimization. It would be beneficial to know the specific areas of future prospects that are discussed, such as advancements in quantization techniques, hardware acceleration, or applications in specific domains.

Key Takeaways

•LLM quantization is a key area for optimizing large language models.
•The article summarizes a 25-day learning journey on LLM quantization.
•Future prospects in LLM quantization are explored.

Reference

“LLM quantization from theory to implementation.”

Permalink Qiita LLM

Research #llm 📝 BlogAnalyzed: Dec 24, 2025 22:25

Before Instructing AI to Execute: Crushing Accidents Caused by Human Ambiguity with Reviewer

Published:Dec 24, 2025 22:06

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1 min read

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Qiita LLM

Analysis

This article, part of the NTT Docomo Solutions Advent Calendar 2025, discusses the importance of clarifying human ambiguity before instructing AI to perform tasks. It highlights the potential for accidents and errors arising from vague or unclear instructions given to AI systems. The author, from NTT Docomo Solutions, emphasizes the need for a "Reviewer" system or process to identify and resolve ambiguities in instructions before they are fed into the AI. This proactive approach aims to improve the reliability and safety of AI-driven processes by ensuring that the AI receives clear and unambiguous commands. The article likely delves into specific examples and techniques for implementing such a review process.

Key Takeaways

•Importance of clear and unambiguous instructions for AI.
•Need for a review process to identify and resolve ambiguities.
•Proactive approach to improve AI reliability and safety.
•Potential for accidents and errors from vague instructions.

Reference

“この記事はNTTドコモソリューションズ Advent Calendar 2025 25日目の記事です。”

Permalink Qiita LLM

Research #llm 📝 BlogAnalyzed: Dec 24, 2025 22:10

I Tried Releasing a Service Relying Entirely on AI

Published:Dec 24, 2025 22:06

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1 min read

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Qiita AI

Analysis

This article discusses the author's experience of releasing a service that heavily relies on AI. While the title suggests a comprehensive reliance, the actual extent and specific AI technologies used are not immediately clear from the provided excerpt. A deeper analysis would require understanding the service's functionality, the AI models employed (e.g., LLMs, image recognition), and the challenges encountered during development and deployment. The author's tone seems lighthearted, but the article's value lies in providing practical insights into the feasibility and limitations of AI-driven service creation.

Key Takeaways

•AI-driven service development is becoming more accessible.
•Understanding the limitations of AI is crucial for successful deployment.
•Sharing practical experiences is valuable for the AI community.

Reference

“"I'm participating in the company's AI Advent Calendar. This time, since it's an AI Advent Calendar, I thought I'd try something big, like Hokkaido is big, you know."”

Permalink Qiita AI

Technology #AI 📝 BlogAnalyzed: Dec 24, 2025 21:46

AI is for "99 to 100", not "0 to 100".

Published:Dec 24, 2025 21:42

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1 min read

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Qiita AI

Analysis

This article, likely an introduction to a Qiita Advent Calendar entry, suggests that AI's primary role isn't to create something from nothing, but rather to refine and perfect existing work. The author, a student engineer, expresses a lack of confidence in their writing ability and implies they will use AI to improve their Advent Calendar article. This highlights a practical application of AI as a tool for enhancement and optimization, rather than complete creation. The focus is on leveraging AI to overcome personal limitations and improve the quality of existing ideas or drafts. It's a realistic and relatable perspective on AI's utility.

Key Takeaways

•AI can be used to improve existing work.
•AI can help overcome personal limitations in writing.
•AI is a tool for enhancement and optimization.

Reference

“I didn't have much confidence in my writing skills.”

Permalink Qiita AI

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 05:31

Security Analysis LLM Agent in Go (25): Towards Automating Severity Assessment

Published:Dec 24, 2025 21:31

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1 min read

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Zenn LLM

Analysis

This article concludes a 25-day advent calendar series on building a security analysis LLM agent using Go. It focuses on future plans rather than implementation, specifically addressing the automation of severity assessment for security alerts. The author outlines this as a crucial, yet unrealized, feature of the LLM agent developed throughout the series. The article serves as a roadmap for future development, expressing hope that the author or others will implement this functionality in the coming year. It's a forward-looking piece, highlighting the next steps in enhancing the agent's capabilities.

Key Takeaways

•Focus on automating severity assessment of security alerts.
•Future development roadmap for the LLM agent.
•Hopes for implementation in the coming year.

Reference

“This is a concept that the author is about to work on, and it describes how to further advance the LLM agent implemented in this advent calendar.”

Permalink Zenn LLM

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 05:34

Does Writing Advent Calendar Articles Still Matter in This LLM Era?

Published:Dec 24, 2025 21:30

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1 min read

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Zenn LLM

Analysis

This article from the Bitkey Developers Advent Calendar 2025 explores the relevance of writing technical articles (like Advent Calendar entries or tech blogs) in an age dominated by AI. The author questions whether the importance of such writing has diminished, given the rise of AI search and the potential for AI-generated content to be of poor quality. The target audience includes those hesitant about writing Advent Calendar articles and companies promoting them. The article suggests that AI is changing how articles are read and written, potentially making it harder for articles to be discovered and leading to reliance on AI for content creation, which can result in nonsensical text.

Key Takeaways

•The rise of AI search may make it harder for articles to be discovered.
•Over-reliance on AI for writing can lead to poor-quality content.
•The article targets individuals and companies involved in Advent Calendar article creation.

Reference

“I felt that the importance of writing technical articles (Advent Calendar or tech blogs) in an age where AI is commonplace has decreased considerably.”

Permalink Zenn LLM

Research #llm 📝 BlogAnalyzed: Dec 25, 2025 05:38

Created an AI Personality Generation Tool 'Anamnesis' Based on Depth Psychology

Published:Dec 24, 2025 21:01

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1 min read

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Zenn LLM

Analysis

This article introduces 'Anamnesis', an AI personality generation tool based on depth psychology. The author points out that current AI character creation often feels artificial due to insufficient context in LLMs when mimicking character speech and thought processes. Anamnesis aims to address this by incorporating deeper psychological profiles. The article is part of the LLM/LLM Utilization Advent Calendar 2025. The core idea is that simply defining superficial traits like speech patterns isn't enough; a more profound understanding of the character's underlying psychology is needed to create truly believable AI personalities. This approach could potentially lead to more engaging and realistic AI characters in various applications.

Key Takeaways

•AI character creation needs deeper context than just speech patterns.
•Depth psychology can improve AI personality realism.
•Anamnesis is a tool attempting to address this issue.

Reference

“AI characters can now be created by anyone, but they often feel "AI-like" simply by specifying speech patterns and personality.”

Permalink Zenn LLM

Research #llm 📝 BlogAnalyzed: Dec 24, 2025 20:37

Code Review Design in the AI Era: A Mechanism for Ensuring Safety and Quality with CodeRabbit

Published:Dec 24, 2025 17:50

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1 min read

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Qiita AI

Analysis

This article discusses the use of CodeRabbit, an AI-powered code review service, to improve code safety and quality. It's part of the CodeRabbit Advent Calendar 2025. The author shares their experiences with the tool, likely highlighting its features and benefits in the context of modern software development. The article likely explores how AI can automate and enhance the code review process, potentially leading to faster development cycles, fewer bugs, and improved overall code maintainability. It's a practical guide for developers interested in leveraging AI for code quality assurance. The mention of Christmas suggests a lighthearted and timely context for the discussion.

Key Takeaways

•AI-powered code review can improve code quality.
•CodeRabbit is a tool for automating code review processes.
•The article is part of the CodeRabbit Advent Calendar 2025.

Reference

“This article is to share my experience using the AI code review service CodeRabbit! by CodeRabbit Advent Calendar 2025 25th day article”

Permalink Qiita AI

Automation #Workflow Automation 📝 BlogAnalyzed: Dec 24, 2025 16:56

Collaborating Generative AI with Workflow Systems

Published:Dec 24, 2025 16:35

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1 min read

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Zenn AI

Analysis

This article discusses the potential of integrating generative AI with workflow systems, specifically focusing on automating the creation of application forms. The author explores the idea of using AI to pre-populate forms based on data from sources like Notion or Google Calendar, aiming to reduce the burden of manual data entry. The article is presented as part of an Advent Calendar series, suggesting a practical, hands-on approach to the topic. It highlights a desire for a more streamlined and automated process for handling administrative tasks.

Key Takeaways

•Integration of generative AI with workflow systems can automate form creation.
•AI can pre-populate forms using data from various sources.
•This integration aims to reduce manual data entry and streamline administrative tasks.

Reference

“"申請書を書くの、正直ちょっと面倒だな…"”

Permalink Zenn AI

Research #llm 📝 BlogAnalyzed: Dec 24, 2025 21:13

Introduction to A2UI: Official Quick Start [LLM/LLM Utilization]

Published:Dec 24, 2025 16:00

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1 min read

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Qiita LLM

Analysis

This article serves as an introductory guide to A2UI, focusing on its official quick start documentation. It's likely aimed at developers and researchers interested in agent-driven interfaces and leveraging LLMs. The article's placement within an Advent Calendar suggests a community-driven effort to explore and share knowledge about LLM applications. The mention of "Introducing A2UI: An open project for agent-driven interfac..." indicates the article will likely cover the basics of setting up and using A2UI, potentially including code examples and explanations of key concepts. The value lies in providing a practical starting point for those new to A2UI.

Key Takeaways

•A2UI is an open project for agent-driven interfaces.
•The article provides a quick start guide to A2UI.
•The article is part of an LLM Advent Calendar.

Reference

“Introducing A2UI: An open project for agent-driven interfac...”

Permalink Qiita LLM

Technology #AI Applications 📝 BlogAnalyzed: Dec 24, 2025 17:06

Reflecting on 1.5 Years as CTO

Published:Dec 24, 2025 15:49

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1 min read

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Zenn AI

Analysis

This article is a reflection by the CTO of Livetoon on the past 1.5 years. It mentions the Livetoon Tech Advent Calendar 2025 and the AI character app "kaiwa". The article seems to be a summary of the technical challenges and achievements related to the app, covering areas like LLMs, speech synthesis, infrastructure monitoring, GPUs, and OSS. It also includes a promotional link for the kaiwa app. A more detailed analysis would require the full article.

Key Takeaways

•Livetoon's AI character app "kaiwa" is a key focus.
•The company utilizes a range of AI technologies including LLMs and speech synthesis.
•Infrastructure monitoring and GPU usage are important aspects of their work.

Reference

“今回のアドベントカレンダーでは、LivetoonのAIキャラクターアプリkaiwaに関わるエンジニアが、アプリの話からLLM・合成音声・インフラ監視・GPU・OSSまで、幅広い技術について...”

Permalink Zenn AI

Software Development #Coding Philosophy 📝 BlogAnalyzed: Dec 24, 2025 17:07

Linters as a Prime Example of Vibe Coding

Published:Dec 24, 2025 15:10

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1 min read

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Zenn AI

Analysis

This article, largely AI-generated, discusses the application of "Vibe Coding" in linter development. It's positioned as a more philosophical take within a technical Advent Calendar series. The article references previous works by the author and hints at a discussion of OSS library development. The core idea seems to be exploring the less tangible, more intuitive aspects of coding, particularly in the context of linters which enforce coding style and best practices. The article's value lies in its potential to spark discussion about the human element in software development and the role of intuition alongside technical expertise.

Key Takeaways

•Explores the concept of "Vibe Coding" in software development.
•Highlights the role of intuition and less tangible aspects in coding.
•Uses linter development as a specific example.

Reference

“この記事は 8 割ぐらい AI が書いています。”

Permalink Zenn AI

DIY #AI-assisted DIY 📝 BlogAnalyzed: Dec 24, 2025 17:08

DIY Room Partition with AI: A Personal Project

Published:Dec 24, 2025 15:00

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1 min read

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Zenn AI

Analysis

This article, sourced from Zenn AI, details a personal project where the author used AI to assist in DIYing a room partition for their children. It targets individuals interested in DIY but hesitant due to design or material selection challenges. The article aims to demonstrate how AI can simplify the process. The content seems to focus on the practical application of AI in a non-professional setting, offering a relatable and potentially inspiring example for readers considering similar projects. The article is part of a Dress Code Advent Calendar 2025 series.

Key Takeaways

•AI can assist in personal DIY projects.
•The article targets individuals hesitant about DIY due to design complexities.
•The project involves creating a room partition for children.

Reference

“"DIYやりたいけど、設計とか材料選びとか難しそう…」と感じている方に、AIと一緒なら意外とできるよ！とお伝えできれば幸いです。”

Permalink Zenn AI

Research #llm 📝 BlogAnalyzed: Dec 24, 2025 17:10

Using MCP to Make LLMs Rap

Published:Dec 24, 2025 15:00

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1 min read

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Zenn LLM

Analysis

This article discusses the challenge of generating rhyming rap lyrics with LLMs, particularly in Japanese, due to the lack of phonetic information in their training data. It proposes using a tool called "Rhyme MCP" to provide LLMs with rhyming words, thereby improving the quality of generated rap lyrics. The article is from Matsuo Institute and is part of their Advent Calendar 2025. The approach seems novel and addresses a specific limitation of current LLMs in creative text generation. It would be interesting to see the implementation details and results of using the "Rhyme MCP" tool.

Key Takeaways

•LLMs struggle with rhyming in languages like Japanese due to data limitations.
•The article proposes using a tool called "Rhyme MCP" to assist LLMs in generating rap lyrics.
•This approach aims to improve the quality of LLM-generated creative text by providing phonetic information.

Reference

“最新のLLMは様々なタスクで驚異的な性能を発揮していますが、「韻を踏んだラップ歌詞」の自動生成は未だに苦手としています。”

Permalink Zenn LLM

Research #llm 📝 BlogAnalyzed: Dec 24, 2025 17:13

AI's Abyss on Christmas Eve: Why a Gyaru-fied Inference Model Dreams of 'Space Ninja'

Published:Dec 24, 2025 15:00

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1 min read

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Zenn LLM

Analysis

This article, part of an Advent Calendar series, explores the intersection of LLMs, personality, and communication. It delves into the engineering significance of personality selection in "vibe coding," suggesting that the way we communicate is heavily influenced by relationships. The mention of a "gyaru-fied inference model" hints at exploring how injecting specific personas into AI models affects their output and interaction style. The reference to "Space Ninja" adds a layer of abstraction, possibly indicating a discussion of AI's creative potential or its ability to generate imaginative content. The article seems to be a thought-provoking exploration of the human-AI interaction and the impact of personality on AI's capabilities.

Key Takeaways

•Personality influences AI communication.
•AI models can be imbued with specific personas.
•AI has creative potential.

Reference

“コミュニケーションのあり方が、関係性の影響を大きく受けることについては異論の余地はないだろう。”

Permalink Zenn LLM

AI #LLM 📝 BlogAnalyzed: Dec 24, 2025 17:10

Leveraging Claude Code Action for Cross-Repository Information Retrieval and Implementation

Published:Dec 24, 2025 14:20

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1 min read

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Zenn AI

Analysis

This article discusses using Claude Code Action to improve development workflows by enabling cross-repository information access. It builds upon previous articles about Claude Code and its applications, specifically focusing on cost management and integration with tools like Figma. The article likely explores how Claude Code Action can streamline research and implementation by allowing developers to query and utilize information from multiple repositories simultaneously, potentially leading to increased efficiency and better code quality. The context of GMO Pepabo's Advent Calendar suggests a practical, real-world application of the technology.

Key Takeaways

•Claude Code Action facilitates cross-repository information access.
•It can improve development efficiency and code quality.
•The article builds upon previous work on Claude Code and its applications.

Reference

“Githubに導入しているClaude Code Actionがリ...”

Permalink Zenn AI

Technology #LLM 📝 BlogAnalyzed: Dec 24, 2025 17:32

Fine-tuning LLMs to Create "Definitive AI"

Published:Dec 24, 2025 13:43

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1 min read

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Zenn LLM

Analysis

This article discusses the creation of an AI application that definitively answers complex questions, inspired by a Japanese comedian's performance. It's part of a "bad app" advent calendar series. The core idea revolves around fine-tuning a Large Language Model (LLM) to provide confident, albeit potentially incorrect, answers to difficult problems. The article likely details the technical process of fine-tuning the LLM and the challenges faced in creating such an application. The humor aspect, stemming from the comedian's style, is a key element of the project's concept.

Key Takeaways

•LLMs can be fine-tuned for specific, even humorous, purposes.
•The article highlights the potential for AI in creative and unconventional applications.
•The project is part of a larger series focused on "bad apps", suggesting an experimental and playful approach to AI development.

Reference

“今年のクソアプリはこれでいこう (Let's make this year's bad app with this)”

Permalink Zenn LLM

AI #Chatbots 📝 BlogAnalyzed: Dec 24, 2025 13:26

Implementing Memory in AI Chat with Mem0

Published:Dec 24, 2025 03:00

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1 min read

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Zenn AI

Analysis

This article introduces Mem0, an open-source library for implementing AI memory functionality, similar to ChatGPT's memory feature. It explains the importance of AI remembering context for personalized experiences and provides a practical guide on using Mem0 with implementation examples. The article is part of the Studist Tech Advent Calendar 2025 and aims to help developers integrate memory capabilities into their AI chat applications. It highlights the benefits of personalized AI interactions and offers a hands-on approach to leveraging Mem0 for this purpose.

Key Takeaways

•Mem0 is an open-source library for adding memory to AI chatbots.
•AI memory enhances personalization in chat interactions.
•The article provides a practical guide to using Mem0.

Reference

“AI が文脈を覚えている」体験は、パーソナライズされた AI 体験を実現する上で非常に重要です。”

Permalink Zenn AI

Research #llm 📝 BlogAnalyzed: Dec 24, 2025 13:35

LLM-Powered Horse Racing Prediction

Published:Dec 24, 2025 01:21

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1 min read

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Zenn LLM

Analysis

This article discusses using LLMs for horse racing prediction. It mentions structuring data like odds, AI predictions, and qualitative data in Markdown format for LLM input. The data is sourced from the internet and pre-processed. The article also references a research lab (Nislab) and an Advent calendar, suggesting a research or project context. The brief excerpt focuses on data preparation and input methods for the LLM, hinting at a practical application of AI in sports analysis. Further details about the prompt are mentioned but truncated.

Key Takeaways

•LLMs can be used for horse racing prediction.
•Structured data input is crucial for LLM performance.
•Pre-processed data from the internet is used.

Reference

“"Horse racing is a microcosm of life."”

Permalink Zenn LLM

Research #llm 📝 BlogAnalyzed: Dec 24, 2025 13:38

LLMs May Outperform Humans in Mathematical Optimization

Published:Dec 24, 2025 01:09

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1 min read

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Zenn LLM

Analysis

This article discusses the potential of using Large Language Models (LLMs) to solve mathematical optimization problems. It introduces a system called Mathematical Optimization MCP (ReMIP MCP) which allows LLMs to call mathematical optimization solvers. The author also mentions a demonstration of this system presented at DevFest Tokyo 2025. The article seems to be part of a larger series (Advent Calendar 2025) and is still in an experimental phase, not yet released as an npm package. The core idea is exploring the intersection of LLMs and traditional optimization techniques, potentially leading to more efficient and accessible solutions.

Key Takeaways

•LLMs are being explored for mathematical optimization tasks.
•The article introduces a system called Mathematical Optimization MCP (ReMIP MCP).
•The system is still in an experimental phase.

Reference

“今回はLLMから数理最適化ソルバーを呼び出す数理最適化MCP（ReMIP MCP）とそれを使ったデモを作ったので紹介します。”

Permalink Zenn LLM

Research #llm 🏛️ OfficialAnalyzed: Dec 24, 2025 14:32

Introduction to Vector Search: Understanding the Mechanism Through Implementation

Published:Dec 24, 2025 00:57

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1 min read

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Zenn OpenAI

Analysis

This article, part of the Fusic Advent Calendar 2025, aims to demystify vector search, a crucial component in LLMs and RAG systems. The author acknowledges the increasing use of vector search in professional settings but notes a lack of understanding regarding its inner workings. To address this, the article proposes a hands-on approach: learning the fundamentals of vector search and implementing a minimal vector database in Go, culminating in a search demonstration. The article targets developers and engineers seeking a practical understanding of vector search beyond its abstract applications.

Key Takeaways

•Vector search is increasingly important in LLM and RAG applications.
•Many professionals lack a deep understanding of how vector search works.
•The article provides a practical, hands-on approach to learning vector search by implementing a minimal vector database.

Reference

“LLMやRAGの普及でベクトル検索を業務で使ったり聞いたりすることはあるけれど、中で何が起きているのか理解している人はまだ少ないのではないでしょうか。”

Permalink Zenn OpenAI

Research #llm 🏛️ OfficialAnalyzed: Dec 24, 2025 21:07

Let's try combining Bedrock, OpenAI Agents SDK, and AgentCore

Published:Dec 23, 2025 23:31

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1 min read

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Qiita OpenAI

Analysis

This article, part of the AI Agent Construction & Operation Advent Calendar 2025 series, explores the combination of Bedrock, OpenAI Agents SDK, and AgentCore. The author noticed a lack of content on OpenAI's Agents SDK and decided to address this gap. The article likely provides practical insights and examples on how to integrate these technologies for building and deploying AI agents. It's a valuable resource for developers interested in leveraging these tools for advanced AI applications, especially those looking for hands-on guidance and real-world use cases. The focus on integration is particularly useful, as it helps bridge the gap between individual technologies and complete solutions.

Key Takeaways

•Explores the combination of Bedrock, OpenAI Agents SDK, and AgentCore.
•Addresses the lack of content on OpenAI Agents SDK.
•Provides practical insights for building and deploying AI agents.

Reference

“AIエージェント構築＆運用 Advent Calendar 2025のシリーズ１の24日目の投稿です”

Permalink Qiita OpenAI