30 March 2023
Computation and Language
HuggingGPT uses a large language model as a 'controller' to manage other AI models, connecting language understanding to expertise
The system decomposes complex requests into solvable subtasks via planning in the language model
It assigns suitable expert models to each subtask based on model descriptions from communities like Hugging Face
HuggingGPT coordinates execution and integrates results to deliver multimodal responses
The open and continuous integration of expert models offers a pathway to artificial general intelligence
The Dawn of Artificial General Intelligence: How Language Models are Mastering Complex Tasks
This paper proposes a system called HuggingGPT that leverages large language models to connect and coordinate various AI models, enabling the solution of complex multimodal tasks. By acting as a 'controller' that plans, schedules, and manages expert models, HuggingGPT demonstrates how language can serve as an interface to achieve generalized intelligence.
No comments yet, be the first to start the conversation...
Sign up to comment on this paper