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Maxime Labonne

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Book 2024

LLM Engineer’s Handbook

Artificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered t...

Paul Iusztin, Maxime Labonne · 2 citations
Jul 2026

In-Place Tokenizer Expansion for Pre-trained LLMs

A tokenizer fixed at the start of pre-training allocates vocabulary in proportion to the pre-training corpus, reflecting the deployment priorities at that time. When those priorities shift, languages added later are split into many more tokens per word, which can raise latency, compute, and energy consumption for users...

Jimmy T.H. Smith, Tarek Dakhran, Alberto Cabrera et al. · 0 citations

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