HuggingGPT: Bringing Jarvis to Reality

HuggingGPT: Bringing Jarvis to Reality

Since the advent of ChatGPT, various GPTs have emerged. Recently, Microsoft launched HuggingGPT and open-sourced the corresponding project on GitHub – Jarvis. Just these two points are enough to pique the public’s interest. Today’s article will simply interpret HuggingGPT, specifically the paper – HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face[1]. … Read more

HuggingGPT: Managing AI Models with ChatGPT

HuggingGPT: Managing AI Models with ChatGPT

In recent months, the successive rise of ChatGPT and GPT-4 has showcased the extraordinary capabilities of large language models (LLM) in language understanding, generation, interaction, and reasoning, garnering significant attention from both academia and industry. This has highlighted the potential of LLMs in constructing general artificial intelligence (AGI) systems. To achieve AGI, LLMs face numerous … Read more

HuggingGPT: A ChatGPT Controller for All AI Models

HuggingGPT: A ChatGPT Controller for All AI Models

The Ultimate Combination: HuggingFace + ChatGPT — HuggingGPT is here! Source | Quantum Bit Just give it an AI task, such as “What animals are in the picture below, and how many of each are there?” It can automatically analyze which AI models are needed, and then directly call the corresponding models from HuggingFace to … Read more

MetaGPT: A Multi-Agent Meta Programming Framework

MetaGPT: A Multi-Agent Meta Programming Framework

Follow “GitHub Picks“, set as “Star“ Explore Interesting Open Source Projects Hello everyone, it’s nice to see you again! I am the GitHub Picks guy! Background Introduction In the software development process, we often face the challenge of handling complex tasks and collaboration among multiple people. How to assign different GPT models to different roles … Read more

Principles and Practical Applications of RAG Retrieval-Augmented Generation

Principles and Practical Applications of RAG Retrieval-Augmented Generation

RAG 75% for retrieval, 25% for generation. All aimed at enhancing the ability to retrieve relevant contextual information. 1. RAG Working Principle and Technical Architecture RAG (Retrieval-Augmented Generation) is a technical architecture that combines information retrieval and generation models. Its basic working principle is to enhance the output of the generation model through the retrieval … Read more

Cold Reflection Behind ChatGPT’s Popularity: AI Implementation Steps

Cold Reflection Behind ChatGPT's Popularity: AI Implementation Steps

From “Deep Blue” to AlphaGo, and now to ChatGPT, the artificial intelligence industry has experienced ups and downs for decades. ChatGPT has sparked heated discussions in the internet and global markets, accompanied by major signals from domestic and international internet giants such as Google, Meta, and Baidu, increasing public curiosity and expectations for “AI.” What … Read more