Tag: llm

  • Hacker News: Get the hell out of the LLM as soon as possible

    Source URL: https://sgnt.ai/p/hell-out-of-llms/ Source: Hacker News Title: Get the hell out of the LLM as soon as possible Feedly Summary: Comments AI Summary and Description: Yes Summary: The text emphasizes that large language models (LLMs) should not be entrusted with decision-making or core application logic due to their inherent limitations. Instead, they should serve strictly…

  • Simon Willison’s Weblog: Quoting Brad Lightcap

    Source URL: https://simonwillison.net/2025/Apr/1/brad-lightcap/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Brad Lightcap Feedly Summary: We’re planning to release a very capable open language model in the coming months, our first since GPT-2. […] As models improve, there is more and more demand to run them everywhere. Through conversations with startups and developers, it became clear how…

  • Hacker News: Addressing Burnout – Libera Chat

    Source URL: https://libera.chat/news/burnout Source: Hacker News Title: Addressing Burnout – Libera Chat Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of LLM-based support scripts at Libera.Chat in response to staff burnout and support query overload. It highlights the potential of large language models (LLMs) to alleviate staff workload but…

  • Simon Willison’s Weblog: debug-gym

    Source URL: https://simonwillison.net/2025/Mar/31/debug-gym/#atom-everything Source: Simon Willison’s Weblog Title: debug-gym Feedly Summary: debug-gym New paper and code from Microsoft Research that experiments with giving LLMs access to the Python debugger. They found that the best models could indeed improve their results by running pdb as a tool. They saw the best results overall from Claude 3.7…

  • Hacker News: LLM Workflows then Agents: Getting Started with Apache Airflow

    Source URL: https://github.com/astronomer/airflow-ai-sdk Source: Hacker News Title: LLM Workflows then Agents: Getting Started with Apache Airflow Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents an SDK for integrating large language models (LLMs) into Apache Airflow workflows. This novel approach enhances AI orchestration by providing refined task decorators that streamline calling LLMs,…

  • Hacker News: Launch HN: Augento (YC W25) – Fine-tune your agents with reinforcement learning

    Source URL: https://news.ycombinator.com/item?id=43537505 Source: Hacker News Title: Launch HN: Augento (YC W25) – Fine-tune your agents with reinforcement learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a new service offered by Augento that provides fine-tuning for language models (LLMs) using reinforcement learning, enabling users to optimize AI agents for specific…

  • The Register: LLM providers on the cusp of an ‘extinction’ phase as capex realities bite

    Source URL: https://www.theregister.com/2025/03/31/llm_providers_extinction/ Source: The Register Title: LLM providers on the cusp of an ‘extinction’ phase as capex realities bite Feedly Summary: Only the strong will survive, but analyst says cull will not be as rapid as during dotcom era Gartner says the market for large language model (LLM) providers is on the cusp of…

  • CSA: AI Software Supply Chain Risks Require Diligence

    Source URL: https://www.zscaler.com/cxorevolutionaries/insights/ai-software-supply-chain-risks-prompt-new-corporate-diligence Source: CSA Title: AI Software Supply Chain Risks Require Diligence Feedly Summary: AI Summary and Description: Yes Summary: The text addresses the increasing cybersecurity challenges posed by generative AI and autonomous agents in software development. It emphasizes the risks associated with the software supply chain, particularly how vulnerabilities can arise from AI-generated…

  • Hacker News: The First LLM

    Source URL: https://thundergolfer.com/blog/the-first-llm Source: Hacker News Title: The First LLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a historical overview and personal reflections on the development of large language models (LLMs), particularly focusing on the contributions of various models and researchers leading up to the advent of GPT-1. It highlights…