reciprocate/shepherd-13b
reciprocate/shepherd-13b is a 13 billion parameter language model, fine-tuned from stabilityai/StableBeluga-13B. This model is specifically optimized for critiquing answers to questions, leveraging the Shepherd dataset. It excels at providing detailed feedback and identifying shortcomings in given responses, making it suitable for evaluation and quality assurance tasks.
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Model Overview
reciprocate/shepherd-13b is a 13 billion parameter language model derived from the stabilityai/StableBeluga-13B architecture. Its primary distinction lies in its fine-tuning on the Shepherd dataset, which specializes in generating critiques for given answers.
Key Capabilities
- Answer Critiquing: The model is designed to analyze provided answers to questions and generate constructive feedback, highlighting areas where the answer might be incomplete or incorrect.
- Evaluation Tasks: It can be used to assess the quality and accuracy of responses generated by other language models or human users.
Usage
This model requires a specific prompt format to function correctly, involving distinct sections for system instructions, the user's question, and the answer to be critiqued. An example demonstrates its ability to identify missing steps in a mathematical problem's solution.
Good For
- Automated feedback generation for educational platforms.
- Quality assurance in AI-driven customer support or content creation.
- Developing systems that require critical analysis of textual responses.