Patronus GLIDER
Generic evaluation model for evaluating text, dialogue and RAG settings
Product Details
Patronus GLIDER is a fine-tuned phi-3.5-mini-instruct model that can be used as a general evaluation model to judge text, dialogue and RAG settings according to user-defined criteria and scoring rules. The model is trained using synthetic data and domain adaptation data, covering 183 indicators and 685 fields, including finance, medicine, etc. The maximum sequence length supported by the model is 8192 tokens, but has been tested to support longer text (up to 12,000 tokens).
Main Features
How to Use
Target Users
The target audience is researchers and developers who need to evaluate the output of text, dialogue, and machine learning models. This product is suitable for them because it provides a flexible, multi-language support evaluation tool that can judge the quality of text and dialogue based on custom scoring rules, helping to improve the accuracy and reliability of the model.
Examples
Evaluating dialogue system output in the financial domain using the GLIDER model.
Use the GLIDER model to score quality texts in the medical field.
The GLIDER model is applied to question answering systems in the education field to evaluate the accuracy and relevance of answers.
Quick Access
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