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Tag: token usage

  • Docker: Fine-Tuning Local Models with Docker Offload and Unsloth

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/fine-tuning-models-with-offload-and-unsloth/ Source: Docker Title: Fine-Tuning Local Models with Docker Offload and Unsloth Feedly Summary: I’ve been experimenting with local models for a while now, and the progress in making them accessible has been exciting. Initial experiences are often fantastic, many models, like Gemma 3 270M, are lightweight enough to run on common hardware.…

  • Tomasz Tunguz: Modernizing Agent Tools with Google ADK Patterns: 60% Token Reduction & Enterprise Safety

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/modernizing-agent-tools-with-google-adk-patterns/ Source: Tomasz Tunguz Title: Modernizing Agent Tools with Google ADK Patterns: 60% Token Reduction & Enterprise Safety Feedly Summary: I recently discovered Google’s Agent Development Kit (ADK) and its architectural patterns for building LLM-powered applications. While ADK is a Python framework, its core design principles proved transformative when applied to my existing…

  • Simon Willison’s Weblog: Load Llama-3.2 WebGPU in your browser from a local folder

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/8/webgpu-local-folder/#atom-everything Source: Simon Willison’s Weblog Title: Load Llama-3.2 WebGPU in your browser from a local folder Feedly Summary: Load Llama-3.2 WebGPU in your browser from a local folder Inspired by a comment on Hacker News I decided to see if it was possible to modify the transformers.js-examples/tree/main/llama-3.2-webgpu Llama 3.2 chat demo (online here,…

  • Simon Willison’s Weblog: DeepSeek 3.1

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/22/deepseek-31/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek 3.1 Feedly Summary: DeepSeek 3.1 The latest model from DeepSeek, a 685B monster (like DeepSeek v3 before it) but this time it’s a hybrid reasoning model. DeepSeek claim: DeepSeek-V3.1-Think achieves comparable answer quality to DeepSeek-R1-0528, while responding more quickly. Drew Breunig points out that their benchmarks…

  • Simon Willison’s Weblog: too many model context protocol servers and LLM allocations on the dance floor

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/22/too-many-mcps/#atom-everything Source: Simon Willison’s Weblog Title: too many model context protocol servers and LLM allocations on the dance floor Feedly Summary: too many model context protocol servers and LLM allocations on the dance floor Useful reminder from Geoffrey Huntley of the infrequently discussed significant token cost of using MCP. Geoffrey estimate estimates that…

  • Simon Willison’s Weblog: Google Gemini URL Context

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/18/google-gemini-url-context/ Source: Simon Willison’s Weblog Title: Google Gemini URL Context Feedly Summary: Google Gemini URL Context New feature in the Gemini API: you can now enable a url_context tool which the models can use to request the contents of URLs as part of replying to a prompt. I released llm-gemini 0.25 with a…

  • Cisco Talos Blog: Using LLMs as a reverse engineering sidekick

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    Kurt Seifried
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    Source URL: https://blog.talosintelligence.com/using-llm-as-a-reverse-engineering-sidekick/ Source: Cisco Talos Blog Title: Using LLMs as a reverse engineering sidekick Feedly Summary: LLMs may serve as powerful assistants to malware analysts to streamline workflows, enhance efficiency, and provide actionable insights during malware analysis.  AI Summary and Description: Yes **Summary:** The text provides an in-depth analysis of using Large Language Models…

  • Slashdot: Anthropic Deploys Multiple Claude Agents for ‘Research’ Tool – Says Coding is Less Parallelizable

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    Kurt Seifried
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    Source URL: https://developers.slashdot.org/story/25/06/21/0442227/anthropic-deploys-multiple-claude-agents-for-research-tool—says-coding-is-less-parallelizable Source: Slashdot Title: Anthropic Deploys Multiple Claude Agents for ‘Research’ Tool – Says Coding is Less Parallelizable Feedly Summary: AI Summary and Description: Yes **Summary:** Anthropic has introduced a novel AI feature involving multiple Claude agents working collaboratively for research purposes. This feature allows agents to search across various contexts but raises…