Open-Assistant
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Inputs: textOutputs: text
About Open-Assistant
OpenAssistant is a chat-based assistant developed by LAION-AI that understands tasks, interacts with third-party systems, and retrieves information dynamically. The project is now completed, and the final dataset (oasst2) is available on HuggingFace. It aims to provide a great chat-based large language model accessible to everyone, similar to the impact of stable-diffusion for images. The project includes a live chat frontend, a data collection frontend, and supports local development via Docker.
Key Features
Chat-based interaction with a large language model
Understands and executes tasks dynamically
Retrieves information from third-party systems
Public chat frontend available at open-assistant.io
Public data collection frontend for submitting, ranking, and labeling prompts/responses
Reaction system (thumbs up/down) to improve responses
Local development stack using Docker
Final dataset (oasst2) published on HuggingFace
Pros & Cons
Pros
- Open source and completely free to use
- Community-driven with over 37,000 GitHub stars
- Provides a high-quality dataset for further LLM research
- Designed to be extensible through integration with third-party systems
- Aims to democratize access to powerful language models
Cons
- Project is now completed and no longer actively developed
- May lack ongoing support or updates for new features
Best For
Chatting with an AI assistant for various tasksContributing to data collection by rating and labeling responsesRunning the development environment locally to contribute codeUsing the oasst2 dataset for research or fine-tuning models
FAQ
What is Open Assistant?
Open Assistant is a chat-based assistant that understands tasks, interacts with third-party systems, and retrieves information dynamically.
Is the project still actively developed?
No, the project is now completed and finished. The final dataset is available on HuggingFace.
How can I try Open Assistant?
You can chat with the AI at the live chat frontend or contribute to data collection at the data collection frontend. Both are accessible via the project website.
How can I run the development setup locally?
Use Docker: run 'docker compose --profile ci up --build --attach-dependencies' in the root directory of the repository.