Experimental News Clipping Site

Tag: token generation

  • The Register: Cerebras to light up datacenters in North America and France packed with AI accelerators

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/03/11/cerebras_dc_buildout/ Source: The Register Title: Cerebras to light up datacenters in North America and France packed with AI accelerators Feedly Summary: Plus, startup’s inference service makes debut on Hugging Face Cerebras has begun deploying more than a thousand of its dinner-plate sized-accelerators across North America and parts of France as the startup looks…

  • Hacker News: Show HN: In-Browser Graph RAG with Kuzu-WASM and WebLLM

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    Kurt Seifried
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    Source URL: https://blog.kuzudb.com/post/kuzu-wasm-rag/ Source: Hacker News Title: Show HN: In-Browser Graph RAG with Kuzu-WASM and WebLLM Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the launch of Kuzu’s WebAssembly (Wasm) version, showcasing its use in building an advanced in-browser chatbot leveraging graph retrieval techniques. Noteworthy is the emphasis on privacy and…

  • Simon Willison’s Weblog: Structured data extraction from unstructured content using LLM schemas

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/28/llm-schemas/#atom-everything Source: Simon Willison’s Weblog Title: Structured data extraction from unstructured content using LLM schemas Feedly Summary: LLM 0.23 is out today, and the signature feature is support for schemas – a new way of providing structured output from a model that matches a specification provided by the user. I’ve also upgraded both…

  • Hacker News: Privacy Pass Authentication for Kagi Search

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    Kurt Seifried
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    Source URL: https://blog.kagi.com/kagi-privacy-pass Source: Hacker News Title: Privacy Pass Authentication for Kagi Search Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Kagi’s new privacy feature called Privacy Pass, which enhances user anonymity by allowing clients to authenticate to servers without revealing their identity. This significant development aims to offer stronger privacy…

  • Simon Willison’s Weblog: S1: The $6 R1 Competitor?

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/5/s1-the-6-r1-competitor/ Source: Simon Willison’s Weblog Title: S1: The $6 R1 Competitor? Feedly Summary: S1: The $6 R1 Competitor? Tim Kellogg shares his notes on a new paper, s1: Simple test-time scaling, which describes an inference-scaling model fine-tuned on top of Qwen2.5-32B-Instruct for just $6 – the cost for 26 minutes on 16 NVIDIA…

  • Hacker News: Has DeepSeek improved the Transformer architecture

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    Kurt Seifried
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    Source URL: https://epoch.ai/gradient-updates/how-has-deepseek-improved-the-transformer-architecture Source: Hacker News Title: Has DeepSeek improved the Transformer architecture Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the innovative architectural advancements in DeepSeek v3, a new AI model that boasts state-of-the-art performance with significantly reduced training times and computational demands compared to its predecessor, Llama 3. Key…

  • Hacker News: Entropy of a Large Language Model output

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    Kurt Seifried
    in

    Source URL: https://nikkin.dev/blog/llm-entropy.html Source: Hacker News Title: Entropy of a Large Language Model output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text discusses the functionalities and implications of large language models (LLMs) like ChatGPT from an information theoretic perspective, particularly focusing on concepts such as token generation and entropy. This examination provides…

  • Hacker News: How outdated information hides in LLM token generation probabilities

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    Kurt Seifried
    in

    Source URL: https://blog.anj.ai/2025/01/llm-token-generation-probabilities.html Source: Hacker News Title: How outdated information hides in LLM token generation probabilities Feedly Summary: Comments AI Summary and Description: Yes ### Summary: The text provides a deep examination of how large language models (LLMs), such as ChatGPT, process and generate responses based on conflicting and outdated information sourced from the internet.…