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Tag: tool calling

  • Simon Willison’s Weblog: OpenAI’s new open weight (Apache 2) models are really good

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/5/gpt-oss/ Source: Simon Willison’s Weblog Title: OpenAI’s new open weight (Apache 2) models are really good Feedly Summary: The long promised OpenAI open weight models are here, and they are very impressive. They’re available under proper open source licenses – Apache 2.0 – and come in two sizes, 120B and 20B. OpenAI’s own…

  • Tomasz Tunguz: Small Action Models Are the Future of AI Agents

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/local-instructions/ Source: Tomasz Tunguz Title: Small Action Models Are the Future of AI Agents Feedly Summary: 2025 is the year of agents, & the key capability of agents is calling tools. When using Claude Code, I can tell the AI to sift through a newsletter, find all the links to startups, verify they…

  • Simon Willison’s Weblog: Trying out Qwen3 Coder Flash using LM Studio and Open WebUI and LLM

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/31/qwen3-coder-flash/ Source: Simon Willison’s Weblog Title: Trying out Qwen3 Coder Flash using LM Studio and Open WebUI and LLM Feedly Summary: Qwen just released their sixth model(!) for this July called Qwen3-Coder-30B-A3B-Instruct – listed as Qwen3-Coder-Flash in their chat.qwen.ai interface. It’s 30.5B total parameters with 3.3B active at any one time. This means…

  • Tomasz Tunguz: Hidden Technical Debt in AI

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/hidden-technical-debt-in-ai/ Source: Tomasz Tunguz Title: Hidden Technical Debt in AI Feedly Summary: That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. The vast majority was infrastructure, data…

  • Docker: Tool Calling with Local LLMs: A Practical Evaluation

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/local-llm-tool-calling-a-practical-evaluation/ Source: Docker Title: Tool Calling with Local LLMs: A Practical Evaluation Feedly Summary: Which local model should I use for tool calling? When building GenAI and agentic applications, one of the most pressing and persistent questions is: “Which local model should I use for tool calling?”  We kept hearing again and again,…

  • Simon Willison’s Weblog: How often do LLMs snitch? Recreating Theo’s SnitchBench with LLM

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/31/snitchbench-with-llm/#atom-everything Source: Simon Willison’s Weblog Title: How often do LLMs snitch? Recreating Theo’s SnitchBench with LLM Feedly Summary: A fun new benchmark just dropped! Inspired by the Claude 4 system card – which showed that Claude 4 might just rat you out to the authorities if you told it to “take initiative" in…

  • Simon Willison’s Weblog: llm-anthropic 0.16

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/22/llm-anthropic-016/#atom-everything Source: Simon Willison’s Weblog Title: llm-anthropic 0.16 Feedly Summary: llm-anthropic 0.16 New release of my LLM plugin for Anthropic adding the new Claude 4 Opus and Sonnet models. You can see pelicans on bicycles generated using the new plugin at the bottom of my live blog covering the release. I also released…