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Tag: transformer

  • Hacker News: Multi-head latent attention (DeepSeek) and other KV cache tricks explained

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    Kurt Seifried
    in

    Source URL: https://www.pyspur.dev/blog/multi-head-latent-attention-kv-cache-paper-list Source: Hacker News Title: Multi-head latent attention (DeepSeek) and other KV cache tricks explained Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advanced techniques in Key-Value (KV) caching that enhance the efficiency of language models like ChatGPT during text generation. It highlights how these optimizations can significantly reduce…

  • 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…

  • The Register: DeepSeek isn’t done yet with OpenAI – image-maker Janus Pro is gunning for DALL-E 3

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/27/deepseek_image_openai/ Source: The Register Title: DeepSeek isn’t done yet with OpenAI – image-maker Janus Pro is gunning for DALL-E 3 Feedly Summary: Crouching tiger, hidden layer(s) Barely a week after DeepSeek’s R1 LLM turned Silicon Valley on its head, the Chinese outfit is back with a new release it claims is ready to…

  • Hacker News: The Illustrated DeepSeek-R1

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    Kurt Seifried
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    Source URL: https://newsletter.languagemodels.co/p/the-illustrated-deepseek-r1 Source: Hacker News Title: The Illustrated DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the launch of DeepSeek-R1, an advanced model in the machine learning and AI domain, highlighting its novel training approach, especially in reasoning tasks. This model presents significant insights into the evolving capabilities of…

  • Simon Willison’s Weblog: The impact of competition and DeepSeek on Nvidia

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/27/deepseek-nvidia/ Source: Simon Willison’s Weblog Title: The impact of competition and DeepSeek on Nvidia Feedly Summary: The impact of competition and DeepSeek on Nvidia Long, excellent piece by Jeffrey Emanuel capturing the current state of the AI/LLM industry. The original title is “The Short Case for Nvidia Stock" – I’m using the Hacker…

  • Hacker News: Mastering Atari Games with Natural Intelligence

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    Kurt Seifried
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    Source URL: https://www.verses.ai/blog/mastering-atari-games-with-natural-intelligence Source: Hacker News Title: Mastering Atari Games with Natural Intelligence Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a significant advancement in the realm of AI, showcasing VERSES’ Genius-powered agent that outperforms existing leading AI algorithms on the Atari 100k benchmarking challenge with remarkable efficiency. This represents a…

  • Hacker News: DeepSeek and the Effects of GPU Export Controls

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    Kurt Seifried
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    Source URL: https://www.vincentschmalbach.com/deepseek-and-the-effects-of-gpu-export-controls/ Source: Hacker News Title: DeepSeek and the Effects of GPU Export Controls Feedly Summary: Comments AI Summary and Description: Yes Summary: DeepSeek’s unveiling of their V3 model demonstrates that AI advancements do not solely depend on high-end hardware but can be achieved through architectural efficiency. The model, trained on significantly fewer resources…

  • Simon Willison’s Weblog: r1.py script to run R1 with a min-thinking-tokens parameter

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/22/r1py/ Source: Simon Willison’s Weblog Title: r1.py script to run R1 with a min-thinking-tokens parameter Feedly Summary: r1.py script to run R1 with a min-thinking-tokens parameter Fantastically creative hack by Theia Vogel. The DeepSeek R1 family of models output their chain of thought inside a …</think> block. Theia found that you can intercept…

  • Hacker News: Tensor Product Attention Is All You Need

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2501.06425 Source: Hacker News Title: Tensor Product Attention Is All You Need Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel attention mechanism called Tensor Product Attention (TPA) designed for scaling language models efficiently. It highlights the mechanism’s ability to reduce memory overhead during inference while improving model…

  • Hacker News: 400x faster embeddings models using static embeddings

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    Kurt Seifried
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    Source URL: https://huggingface.co/blog/static-embeddings Source: Hacker News Title: 400x faster embeddings models using static embeddings Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This blog post discusses a new method to train static embedding models significantly faster than existing state-of-the-art models. These models are suited for various applications, including on-device and in-browser execution, and edge…