HuggingChat: A Platform for Exploring AI Chat Models
HuggingChat is an open-source project by Hugging Face, a company that aims to democratize AI through open source and open science.
HuggingChat lets you interact with various chat models that can perform different tasks, such as writing an email, coding a snake game, searching the web, and more.
Why use HuggingChat?
- It is a fun and educational way to experience AI chat models
- It is a powerful tool for developers, researchers, and enthusiasts who want to build, test, and share their own chat models
- It is based on the Transformers library, a state-of-the-art framework for natural language processing (NLP)
- It is easy to use, and you don’t need any coding skills to start chatting with AI models
Models Available:
- facebook/blenderbot-400M-distill: A distilled version of BlenderBot, a large-scale open-domain chatbot that can handle a variety of conversational topics and tasks.
- mistralai/Mistral-7B-Instruct-v0.1: A model that can generate instructions for various tasks, such as coding, cooking, or gaming.
- deepset/roberta-base-squad2: A model that can answer questions based on a given context, such as a Wikipedia article or a news story.
- microsoft/DialoGPT-medium: A model that can generate coherent and engaging dialogues, based on the GPT-2 architecture.
- huggingface/Einstein: A model that can chat about science, philosophy, and history, in the style of Albert Einstein.
You can find more models on the Hugging Face Hub, or upload your own models to share with the community.
How to use HuggingChat?
- You can try it as a guest, or sign in with your Hugging Face account to access more features
- You can browse the models by their creators, ratings, and categories
- You can upload your models to the Hugging Face Hub, a platform where the machine learning community collaborates on models, datasets, and applications
- You can enable the search web option, which allows the model to use Bing search results to enhance its responses
HuggingChat is a platform where you can explore the possibilities and limitations of AI chat models, learn from the best practices of the machine learning community, and contribute to the advancement of AI.
Limitations
- It may not always understand the context or intent of your queries or commands.
- It may not always generate appropriate or relevant responses or outputs.
- It may not always be able to handle complex or ambiguous queries or commands.
- It may not always be able to verify the accuracy or reliability of the models or their outputs.
