Experimental News Clipping Site

Tag: local inference

  • Docker: Docker Desktop 4.44: Smarter AI Modeling, Platform Stability, and Streamlined Kubernetes Workflows

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/docker-desktop-4-44/ Source: Docker Title: Docker Desktop 4.44: Smarter AI Modeling, Platform Stability, and Streamlined Kubernetes Workflows Feedly Summary: In Docker Desktop 4.44, we’ve focused on delivering enhanced reliability, tighter AI modeling controls, and simplified tool integrations so you can build on your terms. Docker Model Runner Enhancements  Inspectable Model Runner Workflows Now you…

  • Enterprise AI Trends: OpenAI’s Open Source Strategy

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    Kurt Seifried
    in

    Source URL: https://blog.ainativefirm.com/p/openai-open-source-strategy-gpt-oss Source: Enterprise AI Trends Title: OpenAI’s Open Source Strategy Feedly Summary: OpenAI assures everyone that they care about enterprise AI AI Summary and Description: Yes **Summary:** The text discusses the importance of an effective AI strategy for businesses, particularly in the context of OpenAI’s recent launch of two open-weight models, gpt-oss-120b and…

  • Enterprise AI Trends: OpenAI’s Open Source Strategy

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    by

    Kurt Seifried
    in

    Source URL: https://nextword.substack.com/p/openai-open-source-strategy-gpt-oss Source: Enterprise AI Trends Title: OpenAI’s Open Source Strategy Feedly Summary: OpenAI assures everyone that they care about enterprise AI AI Summary and Description: Yes **Summary:** The text primarily discusses OpenAI’s recent release of open-weight models (gpt-oss-120b and gpt-oss-20b) and their implications for AI strategy, enterprise focus, and competitive dynamics in the…

  • 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/ai-skills-inversion/ Source: Tomasz Tunguz Title: Small Action Models Are the Future of AI Agents Feedly Summary: 2025 is the year of agents, and 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…

  • Docker: Powering Local AI Together: Docker Model Runner on Hugging Face

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/docker-model-runner-on-hugging-face/ Source: Docker Title: Powering Local AI Together: Docker Model Runner on Hugging Face Feedly Summary: At Docker, we always believe in the power of community and collaboration. It reminds me of what Robert Axelrod said in The Evolution of Cooperation: “The key to doing well lies not in overcoming others, but in…

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

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    Kurt Seifried
    in

    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,…

  • Docker: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/run-llms-locally/ Source: Docker Title: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner Feedly Summary: AI is quickly becoming a core part of modern applications, but running large language models (LLMs) locally can still be a pain. Between picking the right model, navigating hardware quirks, and optimizing for performance, it’s easy…

  • Hacker News: Mistral Small 3

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    Kurt Seifried
    in

    Source URL: https://mistral.ai/news/mistral-small-3/ Source: Hacker News Title: Mistral Small 3 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Mistral Small 3, a new 24B-parameter model optimized for latency, designed for generative AI tasks. It highlights the model’s competitive performance compared to larger models, its suitability for local deployment, and its potential…

  • Hacker News: I can now run a GPT-4 class model on my laptop

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    system automation
    in

    Source URL: https://simonwillison.net/2024/Dec/9/llama-33-70b/ Source: Hacker News Title: I can now run a GPT-4 class model on my laptop Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advances in consumer-grade hardware capable of running powerful Large Language Models (LLMs), specifically highlighting Meta’s Llama 3.3 model’s performance on a MacBook Pro M2.…