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Deep Dive into Inference Optimization for LLMs with Philip Kiely
Software Huddle
Intro
This chapter explores the intricacies of choosing the appropriate AI model for inference optimization in projects. It emphasizes the significance of selecting robust models, understanding fine-tuning timing, and utilizing techniques like quantization and speculative decoding to enhance GPU efficiency.
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