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Dylan Zhang: Crypto Native AI Models Behind the Future of AI Agents

The Delphi Podcast

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Navigating GNNs in Blockchain and DeFi

This chapter explores the comparative advantages of graph neural networks (GNNs) over large language models (LLMs) for blockchain applications, especially in decentralized finance (DeFi). It highlights the modular approach to model development, the importance of on-chain data for predictive analytics, and the potential for AI to enhance user interactions within the crypto ecosystem. Additionally, the chapter addresses the role of AI agents and their growing functionalities, emphasizing the need for decentralization and community contributions to foster innovation.

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