Tag: speculative decoding
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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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Hacker News: Fast LLM Inference From Scratch (using CUDA)
Source URL: https://andrewkchan.dev/posts/yalm.html Source: Hacker News Title: Fast LLM Inference From Scratch (using CUDA) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive overview of implementing a low-level LLM (Large Language Model) inference engine using C++ and CUDA. It details various optimization techniques to enhance inference performance on both CPU…
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Hacker News: Cerebras Inference now 3x faster: Llama3.1-70B breaks 2,100 tokens/s
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…
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Hacker News: AMD Unveils Its First Small Language Model AMD-135M
Source URL: https://community.amd.com/t5/ai/amd-unveils-its-first-small-language-model-amd-135m/ba-p/711368 Source: Hacker News Title: AMD Unveils Its First Small Language Model AMD-135M Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the launch of AMD’s first small language model (SLM), AMD-135M, which incorporates speculative decoding to enhance performance significantly in natural language processing. This development highlights AMD’s commitment to…
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The Cloudflare Blog: Making Workers AI faster and more efficient: Performance optimization with KV cache compression and speculative decoding
Source URL: https://blog.cloudflare.com/making-workers-ai-faster Source: The Cloudflare Blog Title: Making Workers AI faster and more efficient: Performance optimization with KV cache compression and speculative decoding Feedly Summary: With a new generation of data center accelerator hardware and using optimization techniques such as KV cache compression and speculative decoding, we’ve made large language model (LLM) inference lightning-fast…