This session focuses on training and fine-tuning language models with NxDT on AWS Trainium. We provide an overview of fine-tuning methods, their applications, and their benefits. The session highlights models that train effectively on Trainium and explores how kernels contribute to performance efficiency. A live demonstration shows supervised fine-tuning with Llama 3 (8B), using the Hugging Face integration.
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