Experimental News Clipping Site

Tag: inference speeds

  • The Register: Cheat codes for LLM performance: An introduction to speculative decoding

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    Source URL: https://www.theregister.com/2024/12/15/speculative_decoding/ Source: The Register Title: Cheat codes for LLM performance: An introduction to speculative decoding Feedly Summary: Sometimes two models really are faster than one Hands on When it comes to AI inferencing, the faster you can generate a response, the better – and over the past few weeks, we’ve seen a number…

  • Simon Willison’s Weblog: Claude 3.5 Haiku price drops by 20%

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    Source URL: https://simonwillison.net/2024/Dec/5/claude-35-haiku-price-drops-by-20/#atom-everything Source: Simon Willison’s Weblog Title: Claude 3.5 Haiku price drops by 20% Feedly Summary: Claude 3.5 Haiku price drops by 20% Buried in this otherwise quite dry post about Anthropic’s ongoing partnership with AWS: To make this model even more accessible for a wide range of use cases, we’re lowering the price…

  • Hacker News: What happens if we remove 50 percent of Llama?

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    Source URL: https://neuralmagic.com/blog/24-sparse-llama-smaller-models-for-efficient-gpu-inference/ Source: Hacker News Title: What happens if we remove 50 percent of Llama? Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The document introduces Sparse Llama 3.1, a foundational model designed to improve efficiency in large language models (LLMs) through innovative sparsity and quantization techniques. The model offers significant benefits in…