Response Generation: Finally, using ChatGPT to integrate the prediction of all models, and generate responses.Task Execution: Invokes and executes each selected model, and return the results to ChatGPT.
The workflow of our system consists of four stages: We introduce a collaborative system that consists of an LLM as the controller and numerous expert models as collaborative executors (from HuggingFace Hub). See our paper: HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace, Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu and Yueting Zhuang (the first two authors contribute equally) Language serves as an interface for LLMs to connect numerous AI models for solving complicated AI tasks! We updated a version of code for building.Just run python awesome_chat.py -config configs/ to experience it.You can enjoy a lightweight experience with Jarvis without deploying the models locally.We added the CLI mode and provided parameters for configuring the scale of local endpoints.The Web API /tasks and /results access intermediate results for Stage #1: task planning and Stage #1-3: model selection with execution results.(Build with inference_mode=hybrid and local_deployment=standard) The Gradio demo is now hosted on Hugging Face Space.We added the Gradio demo and built the web API for /tasks and /results in server mode.Jarvis now supports the OpenAI service on the Azure platform and the GPT-4 model.However, the main issue with this game is that it can get repetitive after a while despite the multitude of game modes.This project is under construction and we will have all the code ready soon. It’s easy enough since it supports both controllers and keyboards. For solo play, you can try out modes like 5-Minute Dash and Long Distance Climb. In the main menu, you can access modes such as Challenges, 1 VS 1, and Tournament. It’s highly entertaining to watch-even though it isn’t exactly appropriate for younger players. Fortunately, it’s not as rage-inducing as that and Getting Over It with Bennett Foddy. In true QWOP style, you must control both the hands and feet of your character in order to make them move and grab onto things. The hilarity in this game comes from both the cartoony models and the wonky physics of their limbs. Basically, you’re going to create a tower of semi-nude buff cartoon men. This continues until your team successfully reaches past the required height-and you can keep going to see how far you can go with the individual time limits for climbing. The premise of Mount Your Friends is simple: reach as high as you can with your limbs to set the next level for your teammates to reach.
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