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Deep Dive into Inference Optimization for LLMs with Philip Kiely

Software Huddle

CHAPTER

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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