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  • All (21023) +2
    • AI (3157)
    • DevOps (933) +1
    • Software (11078)
    • IT (5806)
    • Education (48)
  • Notice
  • All (21023) +2
  • AI (3157)
  • DevOps (933) +1
  • Software (11078)
  • IT (5806)
  • Education (48)
  • Notice
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  • 1 week ago · ai

    Task-free intelligence testing of LLMs

    Article URL: https://www.marble.onl/posts/tapping/index.html Comments URL: https://news.ycombinator.com/item?id=46545587 Points: 11 Comments: 1...

    #LLM #intelligence testing #evaluation #benchmark #language models
  • 1 week ago · ai

    Beyond Prompting: The Power of Context Engineering

    Using ACE to create self-improving LLM workflows and structured playbooks The post Beyond Prompting: The Power of Context Engineering appeared first on Towards...

    #context engineering #prompt engineering #LLM #ACE #AI workflows #self-improving #structured playbooks
  • 1 week ago · ai

    Why Markdown Is The Secret To Better AI

    The status quo of web scraping is broken for AI. For a decade, web extraction was a war over CSS selectors and DOM structures. We wrote brittle scrapers that br...

    #markdown #web scraping #LLM #RAG #token efficiency #data preprocessing #AI pipelines
  • 1 week ago · ai

    Netomi’s lessons for scaling agentic systems into the enterprise

    How Netomi scales enterprise AI agents using GPT-4.1 and GPT-5.2—combining concurrency, governance, and multi-step reasoning for reliable production workflows....

    #ai #ai-models #llm
  • 1 week ago · ai

    Won't LLMs eventually train on themselves? It'll slowly decline in output..

    TL;DR LLMs train on stuff like documentation, GitHub repositories, StackOverflow, and Reddit. But as we keep using LLMs, their own output goes into these platf...

    #LLM #model degradation #data contamination #AI training data #self-referential output #AI safety
  • 1 week ago · ai

    How Boris Cherny, Builder of Claude Code, Uses It — And Why That Should Change How You Think About AI

    If a person who invented the oven waits for it to heat properly, you do the same. If the camera designer adjusts the lighting settings, you do the same. If the...

    #Anthropic #Claude Code #LLM #AI tools #AI workflow #software engineering #product management
  • 1 week ago · ai

    LLM Problems Observed in Humans

    Article URL: https://embd.cc/llm-problems-observed-in-humans Comments URL: https://news.ycombinator.com/item?id=46527581 Points: 24 Comments: 2...

    #large language models #LLM #human behavior #AI safety #cognitive biases
  • 1 week ago · ai

    Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options

    Human-guided AI collaboration The post Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options appeared first on Towards Data Sc...

    #LLM #probabilistic reasoning #multi-variant reasoning #prompt engineering #AI collaboration
  • 1 week ago · ai

    Desmontando RAG, del protocolo rígido a la abstracción flexible

    Nota del autor Este artículo lo escribí originalmente en septiembre de 2025, poco antes de la consolidación de arquitecturas como GraphRAG. Quedó guardado en u...

    #RAG #Retrieval Augmented Generation #vector similarity search #embeddings #LLM #AI architecture #GraphRAG #prompt engineering
  • 2 weeks ago · ai

    Scientific production in the era of large language models [pdf]

    Article URL: https://gwern.net/doc/science/2025-kusumegi.pdf Comments URL: https://news.ycombinator.com/item?id=46505296 Points: 4 Comments: 0...

    #large language models #LLM #scientific publishing #AI impact on research #automation of science
  • 2 weeks ago · ai

    Anthropic Let Claude Run a Real Business. It Went Bankrupt.

    What happens when you give an AI real money, actual inventory, and the keys to a business? Anthropic decided to find out through Project Vend, an experiment whe...

    #Claude #Anthropic #AI agents #LLM #Project Vend
  • 2 weeks ago · ai

    Beyond Basic Prompts: Elevating Your LLM Game

    There's a meaningful distinction between using large language models and truly mastering them. While most people interact with LLMs through simple question-and-...

    #prompt engineering #chain-of-thought #LLM #large language models #AI productivity

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