Defeating Nondeterminism in LLM Inference by Thinking Machines
by Brian Wang from NextBigFuture.com on (#71HVN)
A research article by Horace He and the Thinking Machines Lab (X-OpenAI CTO Mira Murati founded) addresses a long-standing issue in large language models (LLMs). Even with greedy decoding bu setting temperature to 0 wiht the goal of no intentional randomness and fixed seeds, the same prompt often produces different outputs across runs or servers. ...