From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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The Role of Data in AI Advancement
This chapter delves into the critical importance of data in enhancing AI models, particularly through reinforcement learning. The hosts highlight the need for effective data curation, visualization tools, and the limitations of traditional prompting methods, advocating for a data-centric approach to model development. Key topics include the evolution of reinforcement learning and practical tools like Curator that assist users in fine-tuning AI with both human and synthetic data.
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