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**FLock Web3 Agent Model Accuracy Surpasses GPT-4 and Gemini**
In a groundbreaking achievement, FLock has successfully developed its AI-powered Web3 Agent Model that has surpassed the accuracy of industry-leading models such as GPT-4 and Gemini. This milestone marks a significant breakthrough in the field of artificial intelligence (AI) and blockchain.
The FLock Web3 Agent Model is designed to analyze liquidity pools, yield strategies, and market trends; perform cross-chain analytics to track, verify, and interpret multi-chain transactions; and execute smart contract queries and insights directly from on-chain data. The model’s capabilities will have far-reaching implications for the development of AI-powered blockchain applications.
According to FLock CEO Jiahao Sun, “The lack of high-quality training data has held back the adoption of AI in Web3. However, with our decentralized platform and community-driven approach, we have been able to train a model that outperforms existing industry leaders.”
The achievement is even more remarkable given the open-source nature of FLock’s Web3 Agent Model, which allows for the collaboration of developers, AI projects, and data contributors. This democratized approach has enabled the training of a highly accurate model without relying on centralized data.
FLock’s innovative ecosystem, powered by its decentralized AI training platform, has successfully bridged the gap between blockchain and artificial intelligence. By offering unparalleled accuracy in on-chain analytics, smart contract execution, and decentralized automation, the FLock Web3 Agent Model is poised to redefine how AI interacts with blockchain ecosystems.
The implications of this breakthrough are vast and far-reaching. As the Web3 space continues to evolve, FLock’s achievement will have a significant impact on the development of new applications, further solidifying its position as the leading platform for decentralized AI training.
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Source: https://cryptopotato.com/flock-web3-agent-model-accuracy-surpasses-gpt-4o-and-gemini/
