Model Evaluation
Evaluate the performance of multiple models using your real data, and based on several evaluation metrics.
Evaluate AI models for better results
Run automatic benchmarks on various models using your data to find the right model for every job
Sophisticated Benchmark Functions
Datawizz offers multiple evaluation metrics like ROUGUE score, BERT score, string matching and so forth for maximum flexibility
LLM as Judge
Datawizz let’s you use LLMs to judge outputs from candidate models, perfect for unique cases with complex evaluation
JSON Evaluation
Unique comparison for JSON objects and lists, perfect for evaluating data extraction, structured output and function calling use cases
Easily compare models “side by side”
The Datawizz platform has a convinient UI for sending requests to multiple models (both public like OpenAI and custom trained models) and comparing their responses side-by-side
