Experimental News Clipping Site

Tag: Huggingface

  • Docker: Introducing Docker Model Runner: A Better Way to Build and Run GenAI Models Locally

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/introducing-docker-model-runner/ Source: Docker Title: Introducing Docker Model Runner: A Better Way to Build and Run GenAI Models Locally Feedly Summary: Docker Model Runner is a faster, simpler way to run and test AI models locally, right from your existing workflow. AI Summary and Description: Yes Summary: The text discusses the launch of Docker…

  • Hacker News: Sharding Pgvector

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    Kurt Seifried
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    Source URL: https://pgdog.dev/blog/sharding-pgvector Source: Hacker News Title: Sharding Pgvector Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of a sharding strategy for handling vector indices in the pgvector database, focusing specifically on large-scale embeddings. It highlights the challenges of scaling vector searches and presents an approach using two indexing…

  • Hacker News: Sharding Pgvector

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    by

    Kurt Seifried
    in

    Source URL: https://pgdog.dev/blog/sharding-pgvector Source: Hacker News Title: Sharding Pgvector Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of a sharding strategy for handling vector indices in the pgvector database, focusing specifically on large-scale embeddings. It highlights the challenges of scaling vector searches and presents an approach using two indexing…

  • Simon Willison’s Weblog: mlx-community/OLMo-2-0325-32B-Instruct-4bit

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/16/olmo2/#atom-everything Source: Simon Willison’s Weblog Title: mlx-community/OLMo-2-0325-32B-Instruct-4bit Feedly Summary: mlx-community/OLMo-2-0325-32B-Instruct-4bit OLMo 2 32B claims to be “the first fully-open model (all data, code, weights, and details are freely available) to outperform GPT3.5-Turbo and GPT-4o mini". Thanks to the MLX project here’s a recipe that worked for me to run it on my Mac,…

  • Hacker News: Simple Explanation of LLMs

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    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

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    Kurt Seifried
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    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

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    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

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    Kurt Seifried
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    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…