Experimental News Clipping Site

Tag: Python library

  • Simon Willison’s Weblog: smartfunc

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/3/smartfunc/ Source: Simon Willison’s Weblog Title: smartfunc Feedly Summary: smartfunc Vincent D. Warmerdam built this ingenious wrapper around my LLM Python library which lets you build LLM wrapper functions using a decorator and a docstring: from smartfunc import backend @backend(“gpt-4o") def generate_summary(text: str): """Generate a summary of the following text: """ pass summary…

  • Cloud Blog: Speed up checkpoint loading time at scale using Orbax on JAX

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/unlock-faster-workload-start-time-using-orbax-on-jax/ Source: Cloud Blog Title: Speed up checkpoint loading time at scale using Orbax on JAX Feedly Summary: Imagine training a new AI / ML model like Gemma 3 or Llama 3.3 across hundreds of powerful accelerators like TPUs or GPUs to achieve a scientific breakthrough. You might have a team of powerful…

  • Hacker News: Show HN: Nuanced – Help AI understand code structure, not just text

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    Kurt Seifried
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    Source URL: https://www.nuanced.dev/blog/initial-launch Source: Hacker News Title: Show HN: Nuanced – Help AI understand code structure, not just text Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces Nuanced, an open-source Python library designed to enhance the capabilities of AI coding assistants by providing a structured representation of code dependencies through call…

  • Hacker News: Show HN: ArchGW – An open-source intelligent proxy server for prompts

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    Kurt Seifried
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    Source URL: https://github.com/katanemo/archgw Source: Hacker News Title: Show HN: ArchGW – An open-source intelligent proxy server for prompts Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes Arch Gateway, a system designed by Envoy Proxy contributors to streamline the handling of prompts and API interactions through purpose-built LLMs. It features intelligent routing,…

  • Simon Willison’s Weblog: Structured data extraction from unstructured content using LLM schemas

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/28/llm-schemas/#atom-everything Source: Simon Willison’s Weblog Title: Structured data extraction from unstructured content using LLM schemas Feedly Summary: LLM 0.23 is out today, and the signature feature is support for schemas – a new way of providing structured output from a model that matches a specification provided by the user. I’ve also upgraded both…

  • Simon Willison’s Weblog: olmOCR

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/26/olmocr/#atom-everything Source: Simon Willison’s Weblog Title: olmOCR Feedly Summary: olmOCR New from Ai2 – olmOCR is “an open-source tool designed for high-throughput conversion of PDFs and other documents into plain text while preserving natural reading order". At its core is allenai/olmOCR-7B-0225-preview, a Qwen2-VL-7B-Instruct variant trained on ~250,000 pages of diverse PDF content (both…

  • Hacker News: Agents for Computer Use

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    Kurt Seifried
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    Source URL: https://github.com/francedot/acu Source: Hacker News Title: Agents for Computer Use Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses AI agents designed for computer use, highlighting their autonomous capabilities to interact with digital interfaces. It presents several resources and tools for developing and utilizing these AI agents, which can be significant…

  • 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…