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Evaluate your prompts and models
Easily answer questions like "which examples regressed when we changed the prompt?" or "what happens if I try this new model?"
Anatomy of an eval
Based on the following description, identify the movie title. In your response, simply provide the name of the movie.
Tweak LLM prompts from any AI provider, run them, and track their performance over time. Seamlessly and securely sync your prompts with your code.
→ Prompts guideUse industry standard autoevals or write your own using code or natural language. Scorers take an input, the LLM output, and an expected value to generate a score.
→ Scorers guideCapture rated examples from staging and production and incorporate them into "golden" datasets. Datasets are integrated, versioned, scalable, and secure.
→ Datasets guide"NeuralFlow fills the missing (and critical!) gap of evaluating non-deterministic AI systems."
"I've never seen a workflow transformation like the one that incorporates evals into 'mainstream engineering' processes before. It's astonishing."
"NeuralFlow finally brings end-to-end testing to AI products, helping companies produce meaningful quality metrics."
"We log everything to NeuralFlow. They make it very easy to find and fix issues."
"Every new AI project starts with evals in NeuralFlow—it's a game changer."