Experimental News Clipping Site

Tag: positional encoding

  • Docker: IBM Granite 4.0 Models Now Available on Docker Hub

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/ibm-granite-4-0-models-now-available-on-docker-hub/ Source: Docker Title: IBM Granite 4.0 Models Now Available on Docker Hub Feedly Summary: Developers can now discover and run IBM’s latest open-source Granite 4.0 language models from the Docker Hub model catalog, and start building in minutes with Docker Model Runner. Granite 4.0 pairs strong, enterprise-ready performance with a lightweight footprint,…

  • Hacker News: Go-attention: A full attention mechanism and transformer in pure Go

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    Kurt Seifried
    in

    Source URL: https://github.com/takara-ai/go-attention Source: Hacker News Title: Go-attention: A full attention mechanism and transformer in pure Go Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a pure Go implementation of attention mechanisms and transformer layers by takara.ai. This implementation emphasizes high performance and usability, making it valuable for applications in AI,…

  • Hacker News: Implementing LLaMA3 in 100 Lines of Pure Jax

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    Kurt Seifried
    in

    Source URL: https://saurabhalone.com/blogs/llama3/web Source: Hacker News Title: Implementing LLaMA3 in 100 Lines of Pure Jax Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive tutorial on implementing the LLaMA 3 language model using JAX, emphasizing its functional programming nature and its suitability for educational purposes. This tutorial is particularly relevant…

  • Hacker News: You could have designed state of the art positional encoding

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    system automation
    in

    Source URL: https://fleetwood.dev/posts/you-could-have-designed-SOTA-positional-encoding Source: Hacker News Title: You could have designed state of the art positional encoding Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution of positional encoding in transformer models, specifically focusing on Rotary Positional Encoding (RoPE) as utilized in modern language models like Llama 3.2. It explains…