Customizing Llama Models for Code - DVT336
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Explore fine-tuning Llama models specifically for code generation and understanding tasks in this 37-minute conference talk from AWS re:Invent 2025. Discover the unique challenges and specialized techniques required to adapt large language models for programming languages, covering essential aspects of data preparation, model training methodologies, and effective deployment strategies. Learn how to build customized, high-performance AI tools that significantly enhance coding productivity and accuracy for development workflows. Gain practical insights into overcoming the technical hurdles of training language models on code, understanding the nuances of programming language syntax and semantics, and implementing solutions that can assist with code completion, generation, and comprehension tasks. Master the process of preparing code datasets, selecting appropriate training parameters, and deploying fine-tuned models in production environments to create AI-powered coding assistants tailored to specific programming needs and organizational requirements.
Syllabus
AWS re:Invent 2025 - Customizing Llama Models for Code (DVT336)
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