Tag: parameter

  • Simon Willison’s Weblog: 100% effective

    Source URL: https://simonwillison.net/2025/Jun/16/100-percent/#atom-everything Source: Simon Willison’s Weblog Title: 100% effective Feedly Summary: Every time I get into an online conversation about prompt injection it’s inevitable that someone will argue that a mitigation which works 99% of the time is still worthwhile because there’s no such thing as a security fix that is 100% guaranteed to…

  • Simon Willison’s Weblog: Qwen3 Embedding

    Source URL: https://simonwillison.net/2025/Jun/8/qwen3-embedding/#atom-everything Source: Simon Willison’s Weblog Title: Qwen3 Embedding Feedly Summary: Qwen3 Embedding New family of embedding models from Qwen, in three sizes: 0.6B, 4B, 8B – and two categories: Text Embedding and Text Reranking. The full collection can be browsed on Hugging Face. The smallest available model is the 0.6B Q8 one, which…

  • Simon Willison’s Weblog: Comma v0.1 1T and 2T – 7B LLMs trained on openly licensed text

    Source URL: https://simonwillison.net/2025/Jun/7/comma/#atom-everything Source: Simon Willison’s Weblog Title: Comma v0.1 1T and 2T – 7B LLMs trained on openly licensed text Feedly Summary: It’s been a long time coming, but we finally have some promising LLMs to try out which are trained entirely on openly licensed text! EleutherAI released the Pile four and a half…

  • Cloud Blog: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploying-llama4-and-deepseek-on-ai-hypercomputer/ Source: Cloud Blog Title: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes Feedly Summary: The pace of innovation in open-source AI is breathtaking, with models like Meta’s Llama4 and DeepSeek AI’s DeepSeek. However, deploying and optimizing large, powerful models can be  complex and resource-intensive. Developers and…