Prism

Optimized Crypto Search with Multi-Agent Collaboration.

Technical Architecture

Task planning is a crucial stage in the tool learning process, involving a comprehensive analysis of user queries to understand user intent. User queries often contain complex intentions that need to be broken down into multiple executable sub-problems.

Steps in Task Planning:

Task Decomposition: Break down the user's question into multiple sub-problems, which helps in solving complex issues step by step.
Dependencies and Execution Order: Identify the dependencies between sub-problems and the order in which they should be executed.

Technical Diagram

ROADMAP

Phase 1

  • • Visual model decodes images for semantic analysis.
  • • Multi-level intent parsing adjusts search strategies.
  • • Fine-tune and evaluate large model capabilities
  • • Design real-time AI interaction front-end.

Phase 2

  • • Complete Search Agent dual-tower model
  • • Implement participant attraction strategies
  • • Develop comprehensive documentation
  • • Integrate Web3 functionality
  • • Complete multi-source data integration

Phase 3

  • • Token incentives drive search engine optimization.
  • • Develop professional research version
  • • Integrate professional trading suite
  • • Implement Token-Gated Access System