Agent Playground

The Agent Playground, or Training Grounds, is a crucial environment where developers and organizations can create, train, and fine-tune AI models and agents for specific applications. This stage offers access to curated data from the Data Marketplace and leverages decentralized computing for model training and evaluation.

• AI models or agents are developed for specific use cases using data from the Data Marketplace.

• Developers obtain data rights and utilize computational resources from nodes.

• Nodes handle resource and compute intensive tasks (training, fine-tuning) with optional benchmarking and rating to determine performance.

• Nodes validate benchmark criteria, and after successful deployment, the trained agent is listed on the Marketplace.