Deep Dive into Inference Optimization for LLMs with Philip Kiely
Software Huddle
00:00
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.
Transcript
Play full episode
