Each problem in the AI space has unique challenges. Once you've been serving production traffic, you'll find edge cases and scenarios you want to measure. Consider models as systems: LLMs are part of ...

As mentioned, LMEval has been used to create the Phare LLM Benchmark, designed to evaluate LLM safety and security, including resistance to hallucination, factual accuracy, bias, and potential harm.

Traditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop robust tests. On the other hand, generative AI is stochastic and ...

What if evaluating the performance of large language models (LLMs) could be as precise and seamless as setting a GPS to your destination? With the rapid rise of LLM applications in everything from ...

Jeffrey Ip is a former engineer who loves solving complex problems. He also cofounded Confident AI, a YC-backed startup. Every day, enterprise AI systems generate millions of responses that no human ...