Using Web 3.0 & Blockchain to Optimize Data Storage and Minimize LLM Token Usage
The convergence of Web 3.0 and blockchain technology presents a powerful way to optimize data storage for AI and reduce token usage in Large Language Models (LLMs). Here's how they can be used effectively:
1. Decentralized Storage Solutions
2. Tokenized Data Access
3. Decentralized Identity (DID) & Verifiable Credentials
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4. On-chain Storage of Summaries or Metadata
5. Incentivized Data Sharing & Caching
By leveraging Web 3.0 and blockchain, we can build a more efficient, secure, and cost-effective approach to data storage and management in AI applications. ????
What are your thoughts on using blockchain for optimizing AI operations? Let’s discuss! ??
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