HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace

Artificial intelligence (AI) is rapidly evolving, and language models (LMs) are becoming increasingly capable of helping us solve complex AI tasks. As the complexity of AI tasks increases, so does the need for LMs to interface with numerous AI models. This is where HuggingGPT comes in. In this article, we'll take a closer look at HuggingGPT and how it can help you solve complex AI tasks.

HuggingGPT is a collaborative system that consists of an LLM as the controller and numerous expert models as collaborative executors. The workflow of the HuggingGPT system consists of four stages: Task Planning, Model Selection, Task Execution, and Response Generation. Let's take a closer look at each of these stages.

Task Planning

The first stage of the HuggingGPT system is Task Planning. Using ChatGPT, HuggingGPT analyzes the requests of users to understand their intention, and disassemble them into possible solvable tasks. This allows the system to better understand what the user is looking for and to plan accordingly.

Model Selection

Once the task has been planned, HuggingGPT moves on to the Model Selection stage. To solve the planned tasks, ChatGPT selects expert models hosted on Hugging Face based on their descriptions. This ensures that the system is using the best models available for the task at hand.

Task Execution

With the models selected, HuggingGPT moves on to the Task Execution stage. In this stage, the system invokes and executes each selected model, and returns the results to ChatGPT. This ensures that the system is using the best models available for the task at hand.

Response Generation

Finally, using ChatGPT to integrate the prediction of all models, HuggingGPT moves on to the Response Generation stage. In this stage, the system generates responses that take into account the predictions made by each model. This ensures that the system is providing the user with the best possible response to their request.

HuggingGPT inputs

HuggingGPT Response

System Requirements

To use HuggingGPT, you'll need to make sure your system meets the minimum requirements. The default requirements for HuggingGPT are:

Ubuntu 16.04 LTS

VRAM >= 12GB

RAM > 12GB (minimal), 16GB (standard), 42GB (full)

Disk > 78G (with 42G for damo-vilab/text-to-video-ms-1.7b)

If you don't meet these requirements, don't worry. The configuration lite.yaml does not require any expert models to be downloaded and deployed locally. However, it means that Jarvis is restricted to models running stably on HuggingFace Inference Endpoints.

Quick Start

To get started with HuggingGPT, you'll need to replace openai.key and huggingface.token in server/config.yaml with your personal OpenAI Key and your Hugging Face Token.

To read more, check their official page.

Bing's Image creator vs MidJourney AI vs Stable Diffusion

Microsoft's Bing has recently launched a new AI-based image creation tool called Bing Image Creator. With this new tool, users can turn words into images to express their imagination, providing access to infinite image possibilities right from within Bing. The tool is created by OpenAI's DALL-E to generate pictures based on text prompts. Image generated by MidJourney AI Using the Bing Image Creator is simple and straightforward. Users can type in a word or phrase and Bing will generate an image based on the text entered. The tool is similar to other text-to-image generators like DALL-E and Stable. The images created by the Bing Image Creator can be used for a wide range of purposes, including vivid dreams, birthday invitations, and new concept proposals. The launch of Bing's Image Creator has garnered attention from the tech community, with many praising its innovative use of AI. However, some have also raised concerns about the potential misuse of the tool, such as creatin...

Creating a Media Player in Python: Using Tkinter and Pygame to Control and Play MP3 and MP4 files

Creating a Media Player in Python: Using Tkinter and Pygame to Control and Play MP3 and MP4 files A media player program in Python using the Tkinter library for the GUI and the Pygame library for playing audio and video files: Import statements: The program first imports the required libraries - tkinter as tk, filedialog, and messagebox from tkinter, and pygame. GUI setup: The Tk() method is used to create the main window of the application, and its title and dimensions are set using the title() and geometry() methods. Pygame initialization: The Pygame library is initialized using the pygame.init() method. Function definitions: The program defines several functions that perform different actions in the media player, such as browse_file() which opens a file dialog to select a file, play_file() which plays the selected file using Pygame's mixer module, pause_file() which pauses the playing file, resume_file() which resumes the playing file, stop_file() which stops the playing file, ...

Master Your Money, Keep Your Privacy: Introducing SMART Budget

Managing your finances often feels like a trade-off: you either get convenience and AI insights, or you get privacy. Usually, you have to hand over your bank login credentials and transaction history to a third-party server to get good analytics. We believe you shouldn't have to choose. We are proud to introduce SMART Budget, a revolutionary new personal finance manager that combines cutting-edge AI intelligence with a strict Local-First, Zero-Knowledge architecture in your language . 🔒 Privacy That Actually Means Privacy Most finance apps store your data on their servers. SMART Budget is different. We built it with a Zero-Knowledge Architecture. Your Data, Your Device : All your financial data is encrypted and stored locally on your device using IndexedDB. It never touches our servers. You Hold the Keys : We use a 12-word recovery phrase (similar to secure cryptocurrency wallets). This acts as your master key. Because we don't have this key, we literally cannot see your data ...

📘 Unlock Your Leadership Potential for Just $7.99!

Are you ready to navigate the complexities of management and truly lead with wisdom? Leading with Wisdom We are thrilled to announce that " Leading with Wisdom: Management Insights " is now available for purchase on Amazon! Why You Need This Book: Actionable Insights : This comprehensive guide distills years of management experience into practical, easy-to-implement advice. Real-World Strategies : It offers a blend of personal anecdotes, proven strategies, and real-world examples designed for leaders at all levels. Navigate Complexity : Learn how to tackle difficult situations and lead your team to success. Limited-Time Offer! For a short time, you can get your copy of this invaluable resource for the special price of just $7.99 on Amazon. Don't miss this opportunity to invest in your leadership journey. Click here to Order Your Copy on Amazon Today!

Siri Sarah LLC

Search This Blog