Inference Methods for Deep Learning - Lecture 24

Explore advanced inference techniques in deep learning that go beyond simple forward passes through neural networks. Learn about beam search algorithms for generating sequences, chain-of-thought reasoning approaches that break down complex problems into steps, in-context learning methods that leverage examples within prompts, test-time training strategies that adapt models during inference, and search-based techniques that systematically explore solution spaces to enhance model performance and capabilities.