HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Indexed inarxivdatacite
Abstract
Solving complicated AI tasks with different domains and modalities is a key step toward artificial general intelligence. While there are numerous AI models available for various domains and modalities, they cannot handle complicated AI tasks autonomously. Considering large language models (LLMs) have exhibited exceptional abilities in language understanding, generation, interaction, and reasoning, we advocate that LLMs could act as a controller to manage existing AI models to solve complicated AI tasks, with language serving as a generic interface to empower this. Based on this philosophy, we present HuggingGPT, an LLM-powered agent that leverages LLMs (e.g., ChatGPT) to connect various AI models in machine…
Citation impact
264
total citations
- FWCI
- —
- Percentile
- —
- References
- 0
Citations per year
Authors
6Topics & keywords
Topics
Keywords
- Computer science
- Modalities
- Face (sociological concept)
- Task (project management)
- Artificial intelligence
- Human–computer interaction
- Interface (matter)
- Natural language processing
UN Sustainable Development Goals
- Quality Education
No related works found for this paper.