AI has made incredible progress with foundation models like ChatGPT, which can generate powerful conversation and high-level solution outlines.
However, these models still face difficulties with specialized tasks, so there is a need for a mechanism that can connect them with off-the-shelf models and systems for completing these tasks.
Key terms:
Foundation models: Advanced AI models like ChatGPT that can perform a broad range of open-domain tasks and generate high-level solution outlines.
Domain-specific tasks: Specialized tasks that require in-depth knowledge or specific data, which foundation models may struggle with.
Neural network computations: The calculations and processes within a neural network, which can sometimes lead to errors in specialized tasks.
Off-the-shelf models and systems: Existing models and systems that can perform domain-specific tasks well but may not be easily accessible or compatible with foundation models.
AI ecosystem: A new system that connects foundation models with millions of APIs, enabling them to work together to complete diverse tasks in both digital and physical domains.