This AI enables you to build, train and operate AI agents in simulated or real environments shared with humans. Cogment is open-source software designed to facilitate the continuous training of mixed teams of humans and AI. The software integrates seamlessly with existing tools, such as PyTorch, Open AI Gym, and TensorFlow, thus offering broad compatibility for developers. By orchestrating ecosystems of intelligence, Cogment draws on the best of human and AI capabilities under human supervision, thereby maximizing compliance and performance within a modular framework. Users can train their agents effectively with less data, real-time adaptation, and an accelerated training process while strengthening the trust. The transition from simulation to real environments is smooth, ensuring safe design and gradual deployment. Cogment is therefore indispensable for researchers and developers demanding high performance and flexibility in AI training in collaborative or competitive contexts.
In an era where rapid adaptation is crucial, the capability enables continuous training of artificial intelligences and humans in cooperation. This dynamic ensures less data needed for learning, real-time responsiveness, and an accelerated training pace. Ideal for companies seeking to strengthen mutual trust between humans and intelligent agents.
This orchestration capability combines the best of human skills and AI capabilities under prudent human supervision. Modular approaches reduce the use of computing capacity while facilitating validation, thus optimizing the compliance and performance of hybrid AI systems. It is an effective solution for companies seeking agility and IT resource savings.
The transition from simulation to real environments is seamless thanks to a design and training process that is secure and simplified in simulated environments. Progressive integration into the real, using digital twins and digital simulations, allows companies to test and deploy innovations with minimal risk, ensuring optimal continuity between development and deployment.
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