HuggingGPT

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Category:AI Agent Development Frameworks

Overview

LLM-powered agent connecting various AI models to solve complex tasks across multiple domains.

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HuggingGPT is an AI agent that leverages large language models (LLMs), such as ChatGPT, to connect with various AI models available in machine learning communities like Hugging Face. It functions by using an LLM to plan tasks based on user requests, selecting appropriate models according to their descriptions, executing each subtask with the chosen models, and summarizing the responses based on the execution results. This approach enables HuggingGPT to tackle a wide range of sophisticated AI tasks spanning different modalities and domains, including language, vision, and speech.

Autonomy level

82%

Reasoning: HuggingGPT demonstrates high autonomy by leveraging ChatGPT to autonomously decompose user requests into subtasks, select appropriate models from Hugging Face based on function descriptions, execute tasks through integrated AI models, and generate summarized responses. It requires minimal human intervention once configured with API keys and model e...

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Some of the use cases of HuggingGPT:

Solving complex AI tasks that require collaboration across multiple models.
Integrating various AI models to handle tasks in language, vision, and speech.
Automating the selection and execution of AI models based on user requests.
Advancing towards artificial general intelligence by managing diverse AI models.

Pricing model:

open-source

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