Bringing Artificial Intelligence (AI) to Decentralized Finance (DeFi)
Block-AI is an AI based DeFi Ecosystem management protocol that generates new outputs based on the data they have been trained on. This protocol is fine-tuned with both supervised and reinforced learning techniques and uses human trainers with different scenarios to generate ranked response through Generative AI.
Block-AI acts as an intelligent operator, connecting different decentralized products. This includes taking effective decisions on DEXs and risk management of the entire ecosystem. Generative AI allows this technology to modify and upgrade itself according to the environment in which it operates.
With the help of Artificial Intelligence algorithm, Block-AI is able to execute timely and profitable trades using information about projects through authentic and verified information. Block-AI takes investors' behavior into consideration that allows the AI algorithm to maneuver in a way that results in the optimal execution of structured and fund trades.
Just like humans, protocols that use Generative AI algorithms need to go through a learning process. Block-AI would allow algorithms to abstract the underlying patterns related to the input data so that the model can generate or output new content. As the existing financial data improves, Block-AI would shift from semi-supervised to unsupervised algorithms resulting in complete and effective automation of the ecosystem.
The challenge arises from the fact that the unbiased data mining is necessary for Generative Pre-trained protocols. To overcome this limitation, Block-AI has to operate within the required parameters to execute trades and at the same time reject the unnecessary and redundant data. To ensure the facilitation of Block-AI, human involvement is required to ensure Block-AI is made financially literate to develop analytical skills required to execute transactions.
Potential Use Cases of Block-AI for Vingt.io ecosystem and for being outsourced to 3rd party protocols and decentralized apps.