Starling-LM-7B-alpha

Starling-LM-7B-alpha is a large language model designed to improve helpfulness and harmlessness in AI-driven conversations. This model, developed by researchers at the Berkeley Natural Language Processing Group, utilizes Reinforcement Learning from AI Feedback (RLAIF) to enhance its ability to provide useful and safe responses across various applications.

Key features:
- Language Model: Based on Openchat 3.5, incorporating a reward model and policy optimization method
- RLAIF Training: Enhances the model's ability to provide helpful and harmless responses
- Chat Template: Follows the exact chat template and usage as Openchat 3.5, supporting single-turn and multi-turn conversations
- Coding Mode: Supports coding mode for implementing code in languages such as C++
- Evaluation Metrics: Assessed on MT Bench, AlpacaEval, and MMLU for performance in various conversational tasks

How it works:
1. Users provide prompts or questions using the chat template
2. The model processes the input using its trained language model and reward model
3. A response is generated and returned to the user, supporting single-turn or multi-turn conversations

Integrations:
Hugging Face, LMSYS Chatbot Arena, Transformers Library

Use of AI:
Starling-LM-7B-alpha employs RLAIF training to enhance its ability to generate helpful and harmless responses. It utilizes a reward model to optimize responses based on user feedback and incorporates policy optimization methods to improve performance over time.

AI foundation model:
The model is based on Openchat 3.5, a large language model developed by the Berkeley Natural Language Processing Group.

Target users:
- Developers and researchers working on conversational AI applications
- Users seeking a general-purpose language model for various tasks, including coding and knowledge queries

How to access:
Starling-LM-7B-alpha is available as a web app through Hugging Face and can be tested for free in the LMSYS Chatbot Arena. It can also be accessed using the Transformers library for Python integration into various applications.

Licensing:
The model is licensed under Apache-2.0 for non-commercial use, with the condition that it is not used to compete with OpenAI.