Making AI Cheaper, Smaller, and Faster

Explores comprehensive approaches to reducing AI costs and improving performance through model optimization techniques like quantization, pruning, and knowledge distillation, alongside hardware acceleration strategies. Covers software-based solutions including specialized frameworks and low-level optimizations, as well as custom hardware development. Examines the business landscape of AI optimization startups and compares energy consumption between traditional search and LLM queries.