• Venkatesh Wadawagi highlighted the integration of AI and LLMs with DeFi, focusing on intent-based models for enhanced user interaction.
  • He explained how natural language inputs are transformed into actionable tasks by interpreting intent, facilitating smoother on-chain activities.
  • The discussion included the importance of knowledge distillation, which optimizes the training of smaller models from larger ones.
  • Wadawagi emphasized the necessity of utilizing extensive blockchain data to fine-tune LLMs for specific DeFi applications.
  • His presentation illustrated how AI can bolster security measures and streamline operations within decentralized finance systems.