HuggingGPT: Can This Collaborative Language Model Truly Do It All?

AI researchers continue to work towards the development of an Artificial General Intelligence capable of performing tasks across all domains. While numerous domain-specific models can address particular problems, no single model exists that can solve all problems. Traditional large language models (LLMs) excel in handling text and responding to users but face limitations when processing complex information like vision and speech. Instead of training LLMs to handle domain-specific problems, an intriguing approach is to employ LLMs alongside domain-specific models to address real-world use cases. Consider several examples: identifying toppings on a pizza from an advertisement, determining the amount to pay from an invoice, checking if it's raining outside, counting dogs in a park, assessing whether vehicles are on the road to cross it safely, or recognizing a location based on a picture.