Gata Decentralized AI Inference And Training Platform Analysis

Project Vision and Mission

Gate.com is committed to reducing reliance on traditional centralized data centers, improving the data silos and bias issues in AI training with a decentralized data layer, achieving data transparency and user autonomy.

Decentralization data and evaluation system

The core system DataAgent and the first DVA are responsible for the quality assessment of global image-text data, providing high-quality training data for AI models such as Stable Diffusion, DALL-E, and GPT-4o.

All-in-One Chat and GPT-to-Earn

Integrates multiple AI models to respond and learns human preferences through user-selected preference data, incentivizing users to contribute and enhance data quality based on the GPT-to-Earn mechanism of the Chrome plugin.

Technical Architecture and Ecological Participation

Data is stored on the BNB Greenfield Decentralization storage chain, contributing computing power for AI calculations. All outputs and proofs are recorded back on the chain and managed through Gate Intelligence Point to evaluate user contributions.

Development Plan and Vision

The development roadmap focuses on performance improvement, multi-node coordination, and tokenized governance, aiming to build a community-driven and verifiable Decentralization AI network to promote the secure and fair development of future intelligent systems.

Summary

Gata builds a solid foundation for the Web3 AI ecosystem through technological innovation and community dynamics, ushering in the era of Decentralization intelligence.