DIN: Data Intelligence Network
  • Data Intelligence Network - The Blockchain for AI
    • Overview
    • Purpose and scope of this whitepaper
  • Market and Trend Analysis
    • Overview of the current data trend and market
    • Overview of the current AI trend and market
    • Existing gaps and opportunities in the market
  • Data Layer: All for the Data
    • Data Flow of AI
    • DIN Protocol Architecture
    • Data Collection
    • Data Validation
    • Data Vectorization
    • The Reward Mechnism
  • Service Layer - Toolkit for dAI-Apps
    • LLMOps
    • RAG (Retrieval Augmented Generation)
      • Hybrid Search
      • Rerank
      • Retrieval
    • Annotation Reply
  • Application Layer: The Ecosystem and Product
    • Analytix
    • xData
    • Reiki
  • Tokenomics and Utilities
    • Details about the $DIN Token.
    • Use cases for the token within the ecosystem
  • Future Outlook
    • Roadmap in 2024
    • Future Developments of DIN
      • Data Marketplace
      • The Multi-Agent system(MAS)
  • References
    • Citations and Sources
    • Glossary of Terms
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  1. References

Citations and Sources

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Last updated 1 year ago

1. Polkadot
2. Parachain Crowdloans
3. Web3 Foundation
4. Accepted Grant Applications of Web3 Foundation
5. AI-Backed Blockchain Data Startup Web3Go Raises $4M
6. AI is about to completely change how you use computers
7. Generative AI to Become a $1.3 Trillion Market by 2032, Research Finds
8. The Rise and Potential of Large Language Model-Based Agents: A Survey
9. The Rise of Autonomous AI Agents; Debundling the Market Landscape
10. The Turing Test - Alan Turing
11. Intelligent Agents: Theory and Practice
12. Deep Blue
13. A context-dependent attention system for a social robot
14. IBM Watson
15.SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
16. Attention Is All You Need
17. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
18. Understanding the Intersection of Crypto and AI
19. The Rise of Autonomous AI Agents; Debundling the Market Landscape
20. LLM Powered Autonomous Agents
21. Gnutell a peer-to-peer network protocol
22. KQML as an Agent Communication Language
23. WordNet: An electronic lexical database
24. FIPA specifications
25.Çoban, Ö., Özyer, B., & Özyer, G. T. (2015, December). A comparison of similarity metrics for sentiment analysis on Turkish Twitter feeds. In Smart City/SocialCom/SustainCom (SmartCity), 2015 IEEE International Conference on (pp. 333-338). IEEE.
26. Salton, G., Wong, A., & Yang, C.-S. (1975). A vector space model for automatic indexing. Communications of the ACM, 18(11), 613-620.
27.J. D. Abernethy and R. M. Frongillo, “A collaborative mechanism for crowdsourcing prediction problems,” in Advances in Neural Information Processing Systems 25, ser. NeurIPS ’11, 2011, pp. 2600–2608.
28.R. Hanson, “Combinatorial information market design,” Information Systems Frontiers, vol. 5, no. 1, pp. 107–119, 2003
29. Kamu Data Inc. 2020. Open Data Fabric - Protocol Specification