Automatically evaluate the quality of your LLM using high quality data backed by your knowledge base
Evaluations should be different for every use case. Talc gives you the tools to set up custom datasets that reflect how your AI needs perform.
Plug in your existing knowledge base for Talc to process
Talc processes your knowledge base and generates a ground truth dataset on that knowledge.
Automatically run evaluation at scale using the new ground truth data. If you need to improve performance, Talc data can also be used to train and improve models.
Talc's data provides the abilty to test at scale, and then improve whatever parts aren't performing
With accurate data in your domain, Talc can evaluate more than just generic benchmarks – it knows exactly what mistakes your AI will make specific to your use case. No proxy metrics or ‘scores’-- get feedback with real interactions.
Talc creates a dataset grounded in the facts from your knowledge base. Every row generated is backed by your documents, resulting in programmatic data that outperforms humans in accuracy.
Using the same process, Talc can generate training data for any domain you have knowledge documents on. Instead of using humans to label your text data, Talc can return results 100x as fast while outperforming humans on data quality.
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