Experimental News Clipping Site

Tag: context length

  • Hacker News: A step-by-step guide on deploying DeepSeek-R1 671B locally

    —

    by

    Kurt Seifried
    in

    Source URL: https://snowkylin.github.io/blogs/a-note-on-deepseek-r1.html Source: Hacker News Title: A step-by-step guide on deploying DeepSeek-R1 671B locally Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed guide for deploying DeepSeek R1 671B AI models locally using ollama, including hardware requirements, installation steps, and observations on model performance. This information is particularly relevant…

  • Hacker News: A minimal PyTorch implementation for training your own small LLM from scratch

    —

    by

    Kurt Seifried
    in

    Source URL: https://github.com/Om-Alve/smolGPT Source: Hacker News Title: A minimal PyTorch implementation for training your own small LLM from scratch Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text describes a minimal PyTorch implementation for training a small Language Model (LLM) from scratch, intended primarily for educational purposes. It showcases modern techniques in LLM…

  • Hacker News: Has DeepSeek improved the Transformer architecture

    —

    by

    Kurt Seifried
    in

    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: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens

    —

    by

    Kurt Seifried
    in

    Source URL: https://qwenlm.github.io/blog/qwen2.5-1m/ Source: Hacker News Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reports on the new release of the open-source Qwen2.5-1M models, capable of processing up to one million tokens, significantly improving inference speed and model performance…

  • Hacker News: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Hacker News Title: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M Feedly Summary: Comments AI Summary and Description: Yes Summary: The Qwen 2.5 model release from Alibaba introduces a significant advancement in Large Language Model (LLM) capabilities with its ability to process up to 1 million tokens. This increase in input capacity is made possible through…

  • Simon Willison’s Weblog: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Simon Willison’s Weblog Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Feedly Summary: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Very significant new release from Alibaba’s Qwen team. Their openly licensed (sometimes Apache 2, sometimes Qwen license, I’ve had trouble keeping…

  • Simon Willison’s Weblog: Anthropic’s new Citations API

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/24/anthropics-new-citations-api/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic’s new Citations API Feedly Summary: Here’s a new API-only feature from Anthropic that requires quite a bit of assembly in order to unlock the value: Introducing Citations on the Anthropic API. Let’s talk about what this is and why it’s interesting. Citations for Retrieval Augmented Generation…

  • Simon Willison’s Weblog: Codestral 25.01

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/13/codestral-2501/ Source: Simon Willison’s Weblog Title: Codestral 25.01 Feedly Summary: Codestral 25.01 Brand new code-focused model from Mistral. Unlike the first Codestral this one isn’t (yet) available as open weights. The model has a 256k token context – a new record for Mistral. The new model scored an impressive joint first place with…

  • Hacker News: Phi4 Available on Ollama

    —

    by

    Kurt Seifried
    in

    Source URL: https://ollama.com/library/phi4 Source: Hacker News Title: Phi4 Available on Ollama Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes Phi 4, a state-of-the-art language model focusing on generative AI capabilities. It highlights the model’s design, enhancements for safety and accuracy, and its primary and out-of-scope use cases, along with regulatory considerations.…

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…