Experimental News Clipping Site

Tag: Huggingface

  • Hacker News: Simple Explanation of LLMs

    —

    by

    Kurt Seifried
    in

    Source URL: https://blog.oedemis.io/understanding-llms-a-simple-guide-to-large-language-models Source: Hacker News Title: Simple Explanation of LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive overview of Large Language Models (LLMs), highlighting their rapid adoption in AI, the foundational concepts behind their architecture, such as attention mechanisms and tokenization, and their implications for various fields.…

  • Simon Willison’s Weblog: LLM 0.22, the annotated release notes

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/17/llm/#atom-everything Source: Simon Willison’s Weblog Title: LLM 0.22, the annotated release notes Feedly Summary: I released LLM 0.22 this evening. Here are the annotated release notes: model.prompt(…, key=) for API keys chatgpt-4o-latest llm logs -s/–short llm models -q gemini -q exp llm embed-multi –prepend X Everything else model.prompt(…, key=) for API keys Plugins…

  • Simon Willison’s Weblog: Run LLMs on macOS using llm-mlx and Apple’s MLX framework

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/15/llm-mlx/#atom-everything Source: Simon Willison’s Weblog Title: Run LLMs on macOS using llm-mlx and Apple’s MLX framework Feedly Summary: llm-mlx is a brand new plugin for my LLM Python Library and CLI utility which builds on top of Apple’s excellent MLX array framework library and mlx-lm package. If you’re a terminal user or Python…

  • Hacker News: Autonomous AI Agents Should Not Be Developed

    —

    by

    Kurt Seifried
    in

    Source URL: https://huggingface.co/papers/2502.02649 Source: Hacker News Title: Autonomous AI Agents Should Not Be Developed Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text critiques a paper that argues against the development of fully autonomous AI agents by outlining various weaknesses in its arguments. Key points include the lack of empirical evidence, an oversimplified…

  • Hacker News: A step-by-step guide on deploying DeepSeek-R1 671B locally

    —

    by

    Kurt Seifried
    in

    Source URL: https://snowkylin.github.io/blogs/a-note-on-deepseek-r1.html Source: Hacker News Title: A step-by-step guide on deploying DeepSeek-R1 671B locally Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed guide for deploying DeepSeek R1 671B AI models locally using ollama, including hardware requirements, installation steps, and observations on model performance. This information is particularly relevant…

  • Hacker News: Open-R1: an open reproduction of DeepSeek-R1

    —

    by

    Kurt Seifried
    in

    Source URL: https://huggingface.co/blog/open-r1 Source: Hacker News Title: Open-R1: an open reproduction of DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the release of DeepSeek-R1, a language model that significantly enhances reasoning capabilities through advanced training techniques, including reinforcement learning. The Open-R1 project aims to replicate and build upon DeepSeek-R1’s methodologies…

  • Hacker News: Show HN: I Created ErisForge, a Python Library for Abliteration of LLMs

    —

    by

    Kurt Seifried
    in

    Source URL: https://github.com/Tsadoq/ErisForge Source: Hacker News Title: Show HN: I Created ErisForge, a Python Library for Abliteration of LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces ErisForge, a Python library designed for modifying Large Language Models (LLMs) through alterations of their internal layers. This tool allows researchers and developers to…

  • Hacker News: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens

    —

    by

    Kurt Seifried
    in

    Source URL: https://qwenlm.github.io/blog/qwen2.5-1m/ Source: Hacker News Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reports on the new release of the open-source Qwen2.5-1M models, capable of processing up to one million tokens, significantly improving inference speed and model performance…

  • Hacker News: DeepSeek-R1-Distill-Qwen-1.5B Surpasses GPT-4o in certain benchmarks

    —

    by

    Kurt Seifried
    in

    Source URL: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B Source: Hacker News Title: DeepSeek-R1-Distill-Qwen-1.5B Surpasses GPT-4o in certain benchmarks Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes the introduction of DeepSeek-R1 and DeepSeek-R1-Zero, first-generation reasoning models that utilize large-scale reinforcement learning without prior supervised fine-tuning. These models exhibit significant reasoning capabilities but also face challenges like endless…