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Skeleton-of-Thought: Parallel decoding speeds up and improves LLM output
Microsoft Research www.microsoft.com
Large language models (LLMs) such as LLaMA and OpenAI’s GPT-4 are revolutionizing technology. However, one of the common complaints about LLMs is their speed, or lack thereof. In many cases, it takes a long time to get an answer from them. This limits LLMs’ applications and their usefulness in latency-critical functions, such as chatbots, copilots, […]
The post Skeleton-of-Thought: Parallel decoding speeds up and improves LLM output appeared first on Microsoft Research.
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