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ChainGPT is an AI-centric platform revolutionizing the Web3, blockchain, and cryptocurrency landscapes. At its core, ChainGPT integrates AI with blockchain technology, offering a suite of tools designed to simplify complex processes. The platform's AI Virtual Machine (AIVM) is the powerhouse behind its diverse offerings, including smart contract generation and auditing, NFT creation, and AI-driven market analysis.

ChainGPT's ecosystem is rich with features like the AI chatbot, which serves as a crypto-native conversational assistant, and the AI Trading Assistant, providing technical analysis and trend detection. The platform also includes CGPT.Fun, a no-code tool for launching AI agents, and the AI NFT Generator, enabling users to mint NFTs from text prompts across major blockchains.

The $CGPT token is integral to the ChainGPT ecosystem, granting access to premium AI tools and enabling participation in governance through DAO voting. It also supports staking and farming, offering rewards and benefits to token holders. The token's burn mechanism ensures long-term sustainability by using a portion of collected fees to buy and burn $CGPT.

ChainGPT's infrastructure is accessible through SDKs and APIs, allowing developers to harness its AI capabilities. The platform's commitment to open technologies ensures that its AI models and applications are available to other Web3 companies.

ChainGPT

CyberVein's big-data solution is based on the PISR (private, interlink, secure, robust) distributed database, database operations are stored on CyberVein blockchain network which runs on a Proof-of-Contribution (PoC) consensus mechanism. The solution is focusing on enterprise-level "blockchain + big-data" customized services.

CVT is the native utility token that is used for:

Storage payment: The data owner pays the corresponding storage fee based on the file size and bandwidth consumed in such a process.

Computing power payment: Payments from user to owner for usage, and remuneration for software developers is going to be exclusively conducted in CVT.

Data exchange: On CyberVein's federated learning platform, the data acquirer trades the data at a price contracted between the two parties for distributed modeling applications.

CROSS NFT issuance payment: Dapp businesses are obligated to pay for Storage and Data Exchange in light of network resources occupied, and may set up CyberVein token as a means of payment to issue NFT or conduct business in accordance to their desired business model.

CyberVein tools include:

PISR Consortium database, creates better data management: through safe and reliable virtual machine operation and maintenance of user data, data is efficiently aggregated for upstream data, and data traceability and tracking are realized to ensure the reliability of data sources and outputs, and achieve cross-level, cross-departmental data sharing to improve the timeliness, diversity, stock and density of data to realize the commercial value of data, and truly solve the problems in data flow.

DAG storage chain, creates safer data storage, with better efficiency, no block confirmation, low transaction fees, and also eliminates miner, supports asynchronous verification and parallel processing of each node, the more nodes, the faster the speed, the stronger the scalability, which leads to better scalability. The database backup on DAG storage chain provides an extra layer of security for businesses.

Cytrix, allows GPU to be shared. Nodes can contribute part of their GPU to the network, in return for compensation through the Proof of Contribution mechanism. The contributed GPU can aid enterprises or individuals in data modeling with federated learning.

Federated Learning Platform, enables data to be monetized. Federated Learning is a distributed machine learning workflow. The datasets are first trained locally, and the data of all parties is kept locally, without revealing privacy or violating regulations.  Individual terminals return trained models to the server to create a shared model. Effectively protect data privacy and security, solve the problem of information silo, and thus realize the value of data. The platform will also provide algorithms to support data modeling operations by enterprises and individuals.

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