Narev – Quickly benchmark and compare LLMs on your own data

Summary: Narev enables users to set up A/B tests and benchmarks for large language models (LLMs) in minutes using their own data. It improves model search, offers smart recommendations, and supports public sharing of results to identify the best model for specific use cases.

What it does

Narev facilitates quick benchmarking of LLMs by allowing users to run A/B tests on custom datasets. It enhances model discovery with a recommendation engine and enables sharing of benchmark outcomes.

Who it's for

It is designed for users seeking to evaluate and compare LLM performance tailored to their unique applications.

Why it matters

Narev addresses the uncertainty in selecting the best LLM by providing a practical, data-driven benchmarking solution.