797: Deep Learning Classics and Trends, with Dr. Rosanne Liu
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Understanding Neural Networks and Evolving Evaluations in Machine Learning
The chapter explores the intricate nature of interpreting neural networks and the challenges in achieving interpretability in machine learning models, emphasizing the continuous pursuit of deeper comprehension in the industry. It discusses the collaborative efforts behind the research paper Beyond the Imitation Game, the impact of Big Bench evaluation, issues in evaluating Language Model models, and advancements in Language Learning Models (LLMs) capabilities. The conversation also delves into the potential future impact of AI-generated data and the concept of using LLMs in simulations for studying human-AI interactions.
Transcript
Play full episode
