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business#ai📝 BlogAnalyzed: Jan 20, 2026 07:00

AI Unveils Systems: New Service Makes External Specifications Visible!

Published:Jan 20, 2026 06:30
1 min read
ASCII

Analysis

This collaboration between Matsuo Institute and SHIFT is incredibly exciting! Their new AI-powered service, designed to visualize external system specifications, promises to revolutionize how we understand and interact with complex systems. Imagine the possibilities for improved clarity and efficiency!
Reference

This article doesn't contain a direct quote, but it's safe to assume the service aims to improve system understanding.

research#llm📝 BlogAnalyzed: Jan 19, 2026 00:45

Boosting Large Language Models with Reinforcement Learning: A New Frontier!

Published:Jan 19, 2026 00:33
1 min read
Qiita LLM

Analysis

This article explores how reinforcement learning is revolutionizing Large Language Models (LLMs)! It's an exciting look at how AI researchers are refining LLMs, making them more capable and efficient. This could lead to breakthroughs in areas we haven't even imagined yet!

Key Takeaways

Reference

This summary is based on the lecture content of the Matsuo/Iwasawa Lab 'Large Language Model Course - Basic Edition'.

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

AI Coding Operations Centered on Claude Code: 5 Effective Patterns in Practice

Published:Dec 26, 2025 02:50
1 min read
Zenn Claude

Analysis

This article discusses the increasing trend of using AI coding as a core part of the development process, rather than just an aid. The author, from Matsuo Institute, shares five key "mechanisms" they've implemented to leverage Claude Code for efficient and high-quality development in small teams. These mechanisms include parallelization, prompt management, automated review loops, knowledge centralization, and instructions (Skills). The article promises to delve into these AI-centric coding techniques, offering practical insights for developers looking to integrate AI more deeply into their workflows. It highlights the shift towards AI as a central component of software development.
Reference

AI coding is not just an "aid" but is treated as the core of the development process.

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

Using MCP to Make LLMs Rap

Published:Dec 24, 2025 15:00
1 min read
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.
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。