SIMA is a generalist AI agent that can perceive and understand a variety of environments, then take actions to achieve an instructed goal. It uses a model designed for precise image-language mapping and a video model that predicts what will happen next on-screen.
SIMA uses a model designed for precise image-language mapping to understand the environment and follow instructions.
SIMA uses a video model that predicts what will happen next on-screen to take actions and achieve the instructed goal.
SIMA requires just two inputs: the images on screen, and simple, natural-language instructions provided by the user.
SIMA can generalize across games and more, making it a versatile AI agent.
SIMA's performance relies on language, making it a promising technology for developing language-driven AI agents.
Playing video games with natural-language instructions
Navigating virtual environments with ease
Understanding and following complex instructions
Generalizing across different games and environments
Provide natural-language instructions to SIMA.
Use SIMA to navigate virtual environments with ease.
Train SIMA on different games and environments to improve its generalization capabilities.
Use SIMA to understand and follow complex instructions.