Podcast: Deep Reinforcement Learning in the Real World with Anna Goldie
Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of the AI industry through their work or research.
In this podcast, Anna Goldie, Senior Staff Research Scientist at Google DeepMind joins us for a discussion of deep reinforcement learning in the real world.
Anna’s current role has her working on large language model (LLM) research for Gemini and Bard. Prior to that, she worked on reinforcement learning for LLMs and retrieval-augmented LLMs at Anthropic, and was co-founder/lead of the ML for Systems team in Google Brain.
During this wide-ranging discussion, you’ll learn about her own professional journey with Google Brain, Anthropic, and Google Deepmind before getting into the core principles of deep reinforcement learning.
You’ll also explore how deep reinforcement learning can be used in large language models, reinforcement learning from human feedback, retrieval augmented generation (RAG), RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval, LLM finetuning, and much more.
Start listening now to fully explore the current landscape of deep reinforcement learning for the real world, and don’t forget to subscribe to ODSC’s Ai X Podcast to ensure you never miss an episode. Finally, like what you hear? Leave a review or share it with a friend! You can listen on Spotify, Apple, and SoundCloud.
Originally posted on OpenDataScience.com
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