HuggingGPT is a system that pairs an LLM with multiple expert models to solve AI tasks.
The workflow includes task planning, model selection, task execution, and response generation.
HuggingGPT: A collaborative system that includes a language model as the controller and multiple expert models as executors.
Task Planning: The first stage in HuggingGPT's workflow, which uses ChatGPT to analyze user requests and break them down into sub-tasks.
Model Selection: The second stage, where ChatGPT selects the appropriate models from HuggingFace Hub based on the identified sub-tasks.
Task Execution: The third stage, where the selected models are executed and their results are returned to ChatGPT.
Response Generation: The final stage, where ChatGPT integrates the predictions from all models to generate a response.