Review: LLM Engineer’s Handbook

For all the excitement around LLMs, practical, engineering-focused guidance remains surprisingly hard to find. LLM Engineer’s Handbook aims to fill that gap. About the authors Paul Iusztin is a Senior AI Engineer and founder of Decoding ML, a channel for content on learning how to design, code, and deploy production-grade ML. Maxime Labonne is the Head of Post-Training at Liquid AI, and He holds a Ph.D. in Machine Learning from the Polytechnic Institute of Paris. … More → The post Review: LLM Engineer’s Handbook appeared first on Help Net Security.
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