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The vehicle is too heavy to carry, and it can probably only accommodate about 30 people for small class teaching. Prerequisites: Height above 175 cm, no infectious diseases, non-smoker, moderate drinker, gentle.

Evolution of AI Training Paradigms: From Centralized Control to Decentralization Collaboration Technological Revolution In the full value chain of AI, model training is the most resource-consuming and technically challenging link, directly determining the upper limit of the model's capabilities and its practical application effects. Compared to the lightweight calls during the inference phase, the training process requires continuous large-scale computational power investment, complex data processing workflows, and high-intensity optimization algorithm support, making it the true "heavy industry" of AI system construction. From an architectural paradigm perspective, training methods can be divided into four categories: centralized training, distributed training, federated learning, and decentralized training, which is the focus of this article. Centralized training is the most common traditional method, completed by a single organization within a local high-performance cluster, where all training processes, from hardware, underlying software, cluster scheduling systems, to all components of the training framework, are coordinated by a unified control system. This deeply collaborative architecture enables memory sharing and gradient synchronization.

The Metaverse public chain is an important infrastructure for building the Metaverse, supporting projects such as NFT and GameFi. Currently, its development is in the early stages, requiring optimization of infrastructure and technical integration, and it is expected to achieve large-scale applications in the future.

Aave, as a leader in Decentralization lending, has experienced significant development since its establishment in 2017, with a Total Value Locked in the DeFi market reaching $10.694 billion. Its core business continues to innovate, launching the stablecoin GHO and the social protocol Lens, facing competition from other protocols. In the future, it will focus on strengthening the integration of lending operations with new businesses to consolidate its market position.

CARV is building a Web3 gaming credential infrastructure based on the "Data to earn" concept, allowing users to earn token rewards by sharing game data and participating in tasks. Users need to mint a CARV ID and link their social accounts to earn rewards through daily check-ins, participating in activities, staking tokens, and more. The project has a promising outlook and has attracted investment, but the distribution of rewards is yet to be clarified.