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Tag: smaller models

  • 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…

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

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    by

    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: Shisa V2 405B: Japan’s Highest Performing LLM

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/3/shisa-v2/ Source: Simon Willison’s Weblog Title: Shisa V2 405B: Japan’s Highest Performing LLM Feedly Summary: Shisa V2 405B: Japan’s Highest Performing LLM Leonard Lin and Adam Lensenmayer have been working on Shisa for a while. They describe their latest release as “Japan’s Highest Performing LLM". Shisa V2 405B is the highest-performing LLM ever…

  • CSA: Unlocking the Distillation of AI & Threat Intelligence

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    Kurt Seifried
    in

    Source URL: https://koat.ai/unlocking-the-distillation-of-ai-and-threat-intelligence-models/ Source: CSA Title: Unlocking the Distillation of AI & Threat Intelligence Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses model distillation, a technique in AI that involves training smaller models to replicate the performance of larger models. It emphasizes model distillation’s significance in cybersecurity, particularly in threat intelligence, by…

  • Simon Willison’s Weblog: OpenAI o3 and o4-mini System Card

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/21/openai-o3-and-o4-mini-system-card/ Source: Simon Willison’s Weblog Title: OpenAI o3 and o4-mini System Card Feedly Summary: OpenAI o3 and o4-mini System Card I’m surprised to see a combined System Card for o3 and o4-mini in the same document – I’d expect to see these covered separately. The opening paragraph calls out the most interesting new…

  • Hacker News: Smaller but Better: Unifying Layout Generation with Smaller LLMs

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.14005 Source: Hacker News Title: Smaller but Better: Unifying Layout Generation with Smaller LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents LGGPT, a large language model designed for unified layout generation, emphasizing its efficiency and performance even with a smaller size compared to larger models. It introduces novel…

  • Hacker News: SOTA Code Retrieval with Efficient Code Embedding Models

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    Kurt Seifried
    in

    Source URL: https://www.qodo.ai/blog/qodo-embed-1-code-embedding-code-retreival/ Source: Hacker News Title: SOTA Code Retrieval with Efficient Code Embedding Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Qodo-Embed-1, a new family of code embedding models that outperforms larger models in code retrieval tasks while maintaining a smaller footprint. It emphasizes the challenges existing models face…

  • Tomasz Tunguz: The AI Elbow’s Impact : What Reasoning Means for Business

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/the-impact-of-reasoning/ Source: Tomasz Tunguz Title: The AI Elbow’s Impact : What Reasoning Means for Business Feedly Summary: October 2024 marked a critical inflection point in AI development. Hidden in the performance data, a subtle elbow emerged – a mathematical harbinger that would prove prophetic. What began as a minor statistical anomaly has since…