Evaluation | Arthur

Best Practices for Building Agents RecapREAD HERE

“Understanding the differences in performance between LLMs can have an incredible amount of nuance. With Bench, we’ve created an open source tool to help teams deeply understand the differences between LLM providers, different prompting and augmentation strategies, and custom training regimes.”

Adam Wenchel

Co-Founder & CEO

The Most Robust Way to Evaluate LLMs

Bench is our solution to help teams evaluate different LLM options in a quick, easy, and consistent way.

Model Selection & Validation

Compare LLM options using a consistent metric to determine the best fit for your application.

Budget & Privacy Optimization

Not all applications require the most advanced or expensive LLMs — in some cases, a less expensive AI model can perform just as well.

Translating Academic Benchmarks to Real-World Performance

Test and compare the performance of different models quantitatively with a set of standard metrics to ensure accuracy and consistency.

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