Tag: inference speed
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The Register: Cheat codes for LLM performance: An introduction to speculative decoding
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…
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Simon Willison’s Weblog: Claude 3.5 Haiku price drops by 20%
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…
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Hacker News: Llama 3.1 405B now runs at 969 tokens/s on Cerebras Inference
Source URL: https://cerebras.ai/blog/llama-405b-inference/ Source: Hacker News Title: Llama 3.1 405B now runs at 969 tokens/s on Cerebras Inference Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses breakthrough advancements in AI inference speed, specifically highlighting Cerebras’s Llama 3.1 405B model, which showcases significantly superior performance metrics compared to traditional GPU solutions. This…
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Hacker News: Qwen2.5 Turbo extends context length to 1M tokens
Source URL: http://qwenlm.github.io/blog/qwen2.5-turbo/ Source: Hacker News Title: Qwen2.5 Turbo extends context length to 1M tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of Qwen2.5-Turbo, a large language model (LLM) that significantly enhances processing capabilities, particularly with longer contexts, which are critical for many applications involving AI-driven natural language…