Tag: AI development
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Cloud Blog: Announcing Mistral AI’s Large-Instruct-2411 and Codestral-2411 on Vertex AI
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-mistral-ais-large-instruct-2411-and-codestral-2411-on-vertex-ai/ Source: Cloud Blog Title: Announcing Mistral AI’s Large-Instruct-2411 and Codestral-2411 on Vertex AI Feedly Summary: In July, we announced the availability of Mistral AI’s models on Vertex AI: Codestral for code generation tasks, Mistral Large 2 for high-complexity tasks, and the lightweight Mistral Nemo for reasoning tasks like creative writing. Today, we’re…
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Hacker News: From ClickOps to GitOps: The Evolution of AI App Development
Source URL: https://blog.helix.ml/p/from-clickops-to-gitops-the-evolution Source: Hacker News Title: From ClickOps to GitOps: The Evolution of AI App Development Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the evolving landscape of AI engineering, emphasizing the transition from rapid prototyping to production-ready AI applications. It highlights the growing acceptance of GPTs in business solutions…
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Simon Willison’s Weblog: Quoting Steven Johnson
Source URL: https://simonwillison.net/2024/Nov/21/steven-johnson/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Steven Johnson Feedly Summary: When we started working on what became NotebookLM in the summer of 2022, we could fit about 1,500 words in the context window. Now we can fit up to 1.5 million words. (And using various other tricks, effectively fit 25 million words.)…
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Simon Willison’s Weblog: Qwen: Extending the Context Length to 1M Tokens
Source URL: https://simonwillison.net/2024/Nov/18/qwen-turbo/#atom-everything Source: Simon Willison’s Weblog Title: Qwen: Extending the Context Length to 1M Tokens Feedly Summary: Qwen: Extending the Context Length to 1M Tokens The new Qwen2.5-Turbo boasts a million token context window (up from 128,000 for Qwen 2.5) and faster performance: Using sparse attention mechanisms, we successfully reduced the time to first…
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Simon Willison’s Weblog: Quoting Jack Clark
Source URL: https://simonwillison.net/2024/Nov/18/jack-clark/ Source: Simon Willison’s Weblog Title: Quoting Jack Clark Feedly Summary: The main innovation here is just using more data. Specifically, Qwen2.5 Coder is a continuation of an earlier Qwen 2.5 model. The original Qwen 2.5 model was trained on 18 trillion tokens spread across a variety of languages and tasks (e.g, writing,…