Advancements in Agentic AI Behavior

This chapter explores the development of more agentic behavior in AI through the evolution of large multimodal language models. It highlights potential future functionalities for these systems, including independent research and personalized tasks, while addressing the challenges related to scaling and training AI effectively. The conversation delves into the limitations of current models and the innovative strategies needed to enhance AI capabilities, including the use of synthetic data and video resources.

Transcript

Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.

Get the app