Search:
Match:
6 results
Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 08:50

Towards Autonomous Navigation in Endovascular Interventions

Published:Dec 19, 2025 21:38
1 min read
ArXiv

Analysis

This article, sourced from ArXiv, likely discusses the application of AI, potentially including LLMs, to improve the navigation of medical instruments within blood vessels. The focus is on automating or assisting endovascular procedures. The research area is cutting-edge and has the potential to significantly improve patient outcomes by increasing precision and reducing invasiveness.
Reference

“”

PermalinkArXiv
Technology#AI/LLMs👥 CommunityAnalyzed: Jan 3, 2026 09:23

I trusted an LLM, now I'm on day 4 of an afternoon project

Published:Jan 27, 2025 21:37
1 min read
Hacker News

Analysis

The article highlights the potential pitfalls of relying on LLMs for tasks, suggesting that what was intended as a quick project has become significantly more time-consuming. It implies issues with the LLM's accuracy, efficiency, or ability to understand the user's needs.

Key Takeaways

Reference

“”

PermalinkHacker News
Research#llm👥 CommunityAnalyzed: Jan 4, 2026 08:00

Declarative Programming with AI/LLMs

Published:Sep 15, 2024 14:54
1 min read
Hacker News

Analysis

This article likely discusses the use of Large Language Models (LLMs) to enable or improve declarative programming paradigms. It would explore how LLMs can be used to translate high-level specifications into executable code, potentially simplifying the development process and allowing for more abstract and maintainable programs. The focus would be on the intersection of AI and software development, specifically how LLMs can assist in the declarative style of programming.

Key Takeaways

    Reference

    “”

    PermalinkHacker News
    Technology#AI/LLMs📝 BlogAnalyzed: Dec 29, 2025 07:28

    Building and Deploying Real-World RAG Applications with Ram Sriharsha - #669

    Published:Jan 29, 2024 19:19
    1 min read
    Practical AI

    Analysis

    This article summarizes a podcast episode featuring Ram Sriharsha, VP of Engineering at Pinecone. The discussion centers on Retrieval Augmented Generation (RAG) applications, specifically focusing on the use of vector databases like Pinecone. The episode explores the trade-offs between using LLMs directly versus combining them with vector databases for retrieval. Key topics include the advantages and complexities of RAG, considerations for building and deploying real-world RAG applications, and an overview of Pinecone's new serverless offering. The conversation provides insights into the future of vector databases in enterprise RAG systems.
    Reference

    “Ram discusses how the serverless paradigm impacts the vector database’s core architecture, key features, and other considerations.”

    PermalinkPractical AI
    Policy#AI Policy👥 CommunityAnalyzed: Jan 10, 2026 15:58

    Advent of Code 2023 Introduces AI/LLM Usage Policy

    Published:Oct 16, 2023 13:53
    1 min read
    Hacker News

    Analysis

    The new policy likely addresses the increasing use of AI and LLMs to solve programming challenges. This move sets a precedent for competitive coding platforms grappling with these powerful tools.
    Reference

    “The article's key fact would be the specific restrictions or allowances outlined in the policy.”

    PermalinkHacker News
    Software Development#AI/LLMs👥 CommunityAnalyzed: Jan 3, 2026 09:23

    Ollama: Run LLMs on your Mac

    Published:Jul 20, 2023 16:06
    1 min read
    Hacker News

    Analysis

    This Hacker News post introduces Ollama, a project aimed at simplifying the process of running large language models (LLMs) on a Mac. The creators, former Docker engineers, draw parallels between running LLMs and running Linux containers, highlighting challenges like base models, configuration, and embeddings. The project is in its early stages.
    Reference

    “While not exactly the same as running linux containers, running LLMs shares quite a few of the same challenges.”

    PermalinkHacker News