Researchers have developed HuggingGPT, a framework that leverages large language models (LLMs) like ChatGPT to connect various AI models within the Hugging Face community for solving complicated AI tasks. These tasks span different domains and modalities, including language, vision, and speech. By using ChatGPT, HuggingGPT can conduct task planning, select models based on their function descriptions, execute subtasks, and summarize responses according to execution results.

This innovative approach combines the powerful language capabilities of ChatGPT with the vast array of AI models available on Hugging Face. HuggingGPT demonstrates impressive results in covering numerous sophisticated AI tasks, paving the way for advancements in artificial intelligence and cross-domain problem-solving.