FLock.io Releases FLock Web3 Agent Model

Odaily News FLock.io released the FLock Web3 Agent Model, a large model optimized for Web3 tasks, with precise function call capabilities, which can efficiently understand and execute complex Web3 tasks. The model is based on the FLock mainnet Task 1 training. Users can act as task creators, training nodes, validators, and delegators to jointly promote model evolution. The model is based on Task1, and model contributors can receive corresponding rewards.
The FLock Web3 Agent Model achieved an accurate match rate of 75.93% in the web3 class function call benchmark test, verifying its excellent understanding, reasoning and execution capabilities in Web3 tasks and achieving accurate function calls. The model and related evaluation standards are fully open source to ensure transparency and accessibility.
In addition, FLock Web3 Agent Model has carried out in-depth cooperation with Io.net, OpenGradient, and HashKey Chain to accelerate the implementation of DeAI technology and jointly expand the application boundaries of decentralized AI.