Experimental News Clipping Site

Tag: smaller models

  • Hacker News: Notes on Anthropic’s Computer Use Ability

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    Source URL: https://composio.dev/blog/claude-computer-use/ Source: Hacker News Title: Notes on Anthropic’s Computer Use Ability Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Anthropic’s latest AI models, Haiku 3.5 and Sonnet 3.5, highlighting the new “Computer Use” feature that enhances LLM capabilities by enabling interactions like a human user. It presents practical examples…

  • Hacker News: Cerebras Inference now 3x faster: Llama3.1-70B breaks 2,100 tokens/s

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    Source URL: https://cerebras.ai/blog/cerebras-inference-3x-faster/ Source: Hacker News Title: Cerebras Inference now 3x faster: Llama3.1-70B breaks 2,100 tokens/s Feedly Summary: Comments AI Summary and Description: Yes Summary: The text announces a significant performance upgrade to Cerebras Inference, showcasing its ability to run the Llama 3.1-70B AI model at an impressive speed of 2,100 tokens per second. This…

  • Hacker News: Throw more AI at your problems

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    Source URL: https://frontierai.substack.com/p/throw-more-ai-at-your-problems Source: Hacker News Title: Throw more AI at your problems Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into the evolution of AI application development, particularly around the use of multiple LLM (Large Language Model) calls as a means to effectively address problems. It emphasizes a shift…

  • Simon Willison’s Weblog: Un Ministral, des Ministraux

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    Source URL: https://simonwillison.net/2024/Oct/16/un-ministral-des-ministraux/ Source: Simon Willison’s Weblog Title: Un Ministral, des Ministraux Feedly Summary: Un Ministral, des Ministraux Two new models from Mistral: Ministral 3B and Ministral 8B (joining Mixtral, Pixtral, Codestral and Mathstral as weird naming variants on the Mistral theme. These models set a new frontier in knowledge, commonsense, reasoning, function-calling, and efficiency…

  • Hacker News: Lm.rs Minimal CPU LLM inference in Rust with no dependency

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    Source URL: https://github.com/samuel-vitorino/lm.rs Source: Hacker News Title: Lm.rs Minimal CPU LLM inference in Rust with no dependency Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text pertains to the development and utilization of a Rust-based application for running inference on Large Language Models (LLMs), particularly the LLama 3.2 models. It discusses technical…