This podcast episode explores the intricacies of deep learning, with discussions on optimizing hardware utilization, the experiences of using Copilot, the challenges of developing LLM products, and insights into large language models (LLMs). It also delves into evaluating and improving machine learning models, training in deep learning, and the remarkable story of Aluthr, who created a language model comparable to GPT-3 Curie using a TPU research grant.
