Conduct comprehensive model suitability testing with Chemin Eval
Confidently assess LLM models with Chemin Eval to determine the model best for your use case and identify areas to fine-tune for excellence.
Pick your model backed by data analytics and human-led input
Harness the power of automated evaluation metrics with the insight of expert human reviewers for a 360° view of model suitability and ongoing performance.
Robust comparison between LLMs
Compare top-performing models with our intuitive, flexible interface:
- View model outputs side by side and quickly rank responses with intuitive buttons
- Add a question specific to your domain's use-case or prompt the AI for assistance
- Access a comprehensive, up-to-date list of models to ensure relevance
Customizable benchmarking criteria
Analyze how models perform on different settings for a balanced view:
- Adjust key parameters such as temperature, topP , and maximum tokens for a level playing field
- Break down evaluation based on tasks, modalities, or languages
- Randomize model selection and hide model names to reduce bias in evaluators
Comprehensive performance breakdown
Gain both quantitative metrics and qualitative insights to fully understand model behavior:
- Track real-world latency and generation speed to evaluate models' performance
- Analyze efficiency of outputs in terms of verbosity, balance, and conciseness
- Surface model biases and underlying behavior to diagnose and resolve performance issues
Collaborative model evaluation
Align understanding across teams by sharing feedback and insights
- Rank responses, explain reasoning, and suggest ideal outputs for the AI
- Export evaluation results for reporting or further analysis
- Distribute results quickly to accelerate learning and decision-making
Insights that drive model testing to business transformations
Strategic evaluation
Move quickly and decisively with comprehensive data to support selection of models that are grounded in real-world relevance instead of assumptions.
Fair and transparent
Remove hidden human biases with an unbiased framework of anonymized outputs to align teams in reaching a consensus of model fit.
Continuous improvement
Stay agile and monitor performance data, benchmarking against improved models to ensure your model is always up-to-date for users.
Maximize business impact with the right model
Select and validate models to align business objectives for now and the long term.