Centralized machine learning is highly inefficient and costly to businesses. TAO are creating a decentralized neural network that will develop and learn incrementally from itself over the years to create an all-knowledge and power neural network.
The $TAO network consists of two types of nodes: Servers and Validators. Validators prompt Servers for information and assess the value of their responses. These assessments are then relayed to the network's blockchain called Subtensor, where TAO is distributed proportionally. As time progresses, TAO learns incrementally, making it a continuously evolving and powerful neural network.
By renting out the use of the network, businesses can save a significant amount of time and money on AI-related tasks, which are often expensive with traditional AI systems. As the network continues to learn and develop, it becomes smarter and more efficient, making it an optimal solution for various AI challenges.
$TAO's advanced neural network has strong real-world use cases, providing solutions to companies like Google and more. Its decentralized nature and incremental learning approach make it an innovative and promising player in the AI industry. Show Less
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