Enhancing agent capabilities with generative AI
Generative AI is transforming the development of intelligent agents by enhancing learning efficiency, improving their understanding of environments, and enabling more complex interactions through generative models. Some of the major developments in ushering generative AI in the space of intelligent agents are as follows:
- Data augmentation: Creating synthetic training data with generative models supplements datasets, improving the robustness and efficiency of machine learning agents. For example, self-driving car agents can use generated scene images to learn better object detection and navigation policies.
- Understanding of context: Generative AI constructs simulations modeling real-world complexities in fine detail, aiding agents in contextual understanding for informed decisions. For example, virtual assistants such as chatbots can use generative AI to simulate conversations in diverse contexts, helping them better understand...
