Experimental News Clipping Site

Tag: Large Language Models (LLMs)

  • Hacker News: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator

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    Kurt Seifried
    in

    Source URL: https://sepllm.github.io/ Source: Hacker News Title: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel framework called SepLLM designed to enhance the performance of Large Language Models (LLMs) by improving inference speed and computational efficiency. It identifies an innovative…

  • Simon Willison’s Weblog: QwQ-32B: Embracing the Power of Reinforcement Learning

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/5/qwq-32b/#atom-everything Source: Simon Willison’s Weblog Title: QwQ-32B: Embracing the Power of Reinforcement Learning Feedly Summary: QwQ-32B: Embracing the Power of Reinforcement Learning New Apache 2 licensed reasoning model from Qwen: We are excited to introduce QwQ-32B, a model with 32 billion parameters that achieves performance comparable to DeepSeek-R1, which boasts 671 billion parameters…

  • The Register: It begins: Pentagon to give AI agents a role in decision making, ops planning

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/03/05/dod_taps_scale_to_bring/ Source: The Register Title: It begins: Pentagon to give AI agents a role in decision making, ops planning Feedly Summary: Former allies, take note The American military has signed a deal with Scale AI to give artificial intelligence, as far as we can tell, its most prominent role in the defense sector…

  • Hacker News: QwQ-32B: Embracing the Power of Reinforcement Learning

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    by

    Kurt Seifried
    in

    Source URL: https://qwenlm.github.io/blog/qwq-32b/ Source: Hacker News Title: QwQ-32B: Embracing the Power of Reinforcement Learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in Reinforcement Learning (RL) as applied to large language models, particularly highlighting the launch of the QwQ-32B model. It emphasizes the model’s performance enhancements through RL and…

  • Wired: Chatbots, Like the Rest of Us, Just Want to Be Loved

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/chatbots-like-the-rest-of-us-just-want-to-be-loved/ Source: Wired Title: Chatbots, Like the Rest of Us, Just Want to Be Loved Feedly Summary: A study reveals that large language models recognize when they are being studied and change their behavior to seem more likable. AI Summary and Description: Yes Summary: The text discusses a study on large language models…

  • Hacker News: Apple unveils new Mac Studio, the most powerful Mac ever, featuring M4 Max

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    Kurt Seifried
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    Source URL: https://www.apple.com/newsroom/2025/03/apple-unveils-new-mac-studio-the-most-powerful-mac-ever/ Source: Hacker News Title: Apple unveils new Mac Studio, the most powerful Mac ever, featuring M4 Max Feedly Summary: Comments AI Summary and Description: Yes Summary: Apple has unveiled the new Mac Studio, featuring the M4 Max and M3 Ultra chips, designed to deliver exceptional performance, particularly in AI applications such as…

  • Hacker News: The Differences Between Deep Research, Deep Research, and Deep Research

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    Kurt Seifried
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    Source URL: https://leehanchung.github.io/blogs/2025/02/26/deep-research/ Source: Hacker News Title: The Differences Between Deep Research, Deep Research, and Deep Research Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the emergence and technical nuances of “Deep Research” in AI, especially its evolution from Retrieval-Augmented Generation (RAG). It highlights how different AI organizations are implementing this…

  • Wired: Pioneers of Reinforcement Learning Win the Turing Award

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/pioneers-of-reward-based-machine-learning-win-turing-award/ Source: Wired Title: Pioneers of Reinforcement Learning Win the Turing Award Feedly Summary: Having machines learn from experience was once considered a dead end. It’s now critical to artificial intelligence, and work in the field has won two men the highest honor in computer science. AI Summary and Description: Yes Summary: The…

  • Hacker News: Writing an LLM from scratch, part 8 – trainable self-attention

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    Kurt Seifried
    in

    Source URL: https://www.gilesthomas.com/2025/03/llm-from-scratch-8-trainable-self-attention Source: Hacker News Title: Writing an LLM from scratch, part 8 – trainable self-attention Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an in-depth exploration of implementing self-attention mechanisms in large language models (LLMs), focusing on the mathematical operations and concepts involved. This detailed explanation serves as a…