2 posts about inference optimization by 2 contributors.
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Dive into the technical depths of Large Language Models (LLMs). Explore tokenization, transformer architecture, training pipelines, instruction tuning, inference optimization, quantization, and long-context methods. Learn practical engineering details for building, deploying, and evaluating LLM systems, including tool use, security, and serving architectures. Discover tips for optimizing performance and ensuring reliability.
Explore end-to-end machine learning on vSphere with NVIDIA, covering data preparation, training, inference optimization, and scalable deployment.
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