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Grass: Live Context Retrieval Powered By Millions of Nodes | Crypto x AI Event

The Delphi Podcast

CHAPTER

Harnessing Real-Time Data for AI Evolution

This chapter explores the critical importance of continuous data generation for the advancement of artificial intelligence, particularly in relation to model size and emerging capabilities. It emphasizes the limitations of existing transformer-based models and introduces live context retrieval as a means to enhance AI performance through real-time data access. The discussion culminates in the introduction of the Grass network, a data retrieval tool poised to revolutionize how AI interacts with live multimodal information.

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