Experimental News Clipping Site

Tag: language models

  • Hacker News: Reader-LM: Small Language Models for Cleaning and Converting HTML to Markdown

    —

    by

    system automation
    in

    Source URL: https://jina.ai/news/reader-lm-small-language-models-for-cleaning-and-converting-html-to-markdown/?nocache=1 Source: Hacker News Title: Reader-LM: Small Language Models for Cleaning and Converting HTML to Markdown Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces Jina Reader and its successor, Reader-LM, which are tools designed for converting HTML content into markdown using language models. It details the technical workings of…

  • Schneier on Security: Evaluating the Effectiveness of Reward Modeling of Generative AI Systems

    —

    by

    system automation
    in

    Source URL: https://www.schneier.com/blog/archives/2024/09/evaluating-the-effectiveness-of-reward-modeling-of-generative-ai-systems-2.html Source: Schneier on Security Title: Evaluating the Effectiveness of Reward Modeling of Generative AI Systems Feedly Summary: New research evaluating the effectiveness of reward modeling during Reinforcement Learning from Human Feedback (RLHF): “SEAL: Systematic Error Analysis for Value ALignment.” The paper introduces quantitative metrics for evaluating the effectiveness of modeling and aligning…

  • Scott Logic: LLMs don’t ‘hallucinate’

    —

    by

    system automation
    in

    Source URL: https://blog.scottlogic.com/2024/08/29/llms-dont-hallucinate.html Source: Scott Logic Title: LLMs don’t ‘hallucinate’ Feedly Summary: Describing LLMs as ‘hallucinating’ fundamentally distorts how LLMs work. We can do better. AI Summary and Description: Yes Summary: The text critiques the pervasive notion of “hallucinations” in large language models (LLMs), arguing that the term mischaracterizes their behavior. Instead, it suggests using…

  • Hacker News: Build a quick Local code intelligence using Ollama with Rust

    —

    by

    system automation
    in

    Source URL: https://bosun.ai/posts/ollama-and-telemetry/ Source: Hacker News Title: Build a quick Local code intelligence using Ollama with Rust Feedly Summary: Comments AI Summary and Description: Yes Summary: This text discusses the development of a code indexing tool named Swiftide using Rust, exploring its integration with Large Language Models (LLMs) and performance metrics. It showcases how Rust…

  • Hacker News: Show HN: AnythingLLM – Open-Source, All-in-One Desktop AI Assistant

    —

    by

    system automation
    in

    Source URL: https://github.com/Mintplex-Labs/anything-llm Source: Hacker News Title: Show HN: AnythingLLM – Open-Source, All-in-One Desktop AI Assistant Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The document discusses “AnythingLLM,” a comprehensive application designed for using language models (LLMs) in a multi-user and context-aware environment. It highlights features like document management, multi-modal support, and deployment options…

  • Hacker News: Have we stopped to think about what LLMs model?

    —

    by

    system automation
    in

    Source URL: https://www.theregister.com/2024/08/30/ai_language_cognition_research/ Source: Hacker News Title: Have we stopped to think about what LLMs model? Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses insights from the paper “Large Models of What?” that critiques the exaggerations surrounding large language models (LLMs) and their supposed capabilities in understanding human language. It emphasizes…

  • Simon Willison’s Weblog: How Anthropic built Artifacts

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Aug/28/how-anthropic-built-artifacts/#atom-everything Source: Simon Willison’s Weblog Title: How Anthropic built Artifacts Feedly Summary: How Anthropic built Artifacts Gergely Orosz interviews five members of Anthropic about how they built Artifacts on top of Claude 3.5 Sonnet with a small team in just three months. The initial prototype used Streamlit, and the biggest challenge was building…

  • Slashdot: Microsoft’s Copilot Falsely Accuses Court Reporter of Crimes He Covered

    —

    by

    system automation
    in

    Source URL: https://tech.slashdot.org/story/24/08/23/1931257/microsofts-copilot-falsely-accuses-court-reporter-of-crimes-he-covered?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft’s Copilot Falsely Accuses Court Reporter of Crimes He Covered Feedly Summary: AI Summary and Description: Yes Summary: The text details a troubling incident involving Microsoft’s Copilot, where the AI generated false accusations against a journalist, highlighting significant issues surrounding AI’s reliability and the potential ramifications of misinformation generated…

  • Hacker News: How we built Townie – an app that generates fullstack apps

    —

    by

    system automation
    in

    Source URL: https://blog.val.town/blog/codegen/ Source: Hacker News Title: How we built Townie – an app that generates fullstack apps Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents an in-depth exploration of the redesign of Townie, an app leveraging code generation technology to facilitate the creation of full-stack applications. It highlights innovations in…

  • Hacker News: Ars Technica content is now available in OpenAI services

    —

    by

    system automation
    in

    Source URL: https://arstechnica.com/information-technology/2024/08/openai-signs-ai-deal-with-conde-nast/ Source: Hacker News Title: Ars Technica content is now available in OpenAI services Feedly Summary: Comments AI Summary and Description: Yes Summary: OpenAI’s partnership with Condé Nast marks a significant step in the integration of AI with high-quality journalism. This collaboration not only enhances the training data available for future AI models…