Generative AI has a testing problem. Advancements are being made at breakneck speeds; indeed, every week seems to be a year when it comes to the proliferation of new models or the release of a new technical paradigm. However, there is no reliable method to ascertain the actual ability of these models over time.
This is where LayerLens comes in. Our mission is to provide a platform that makes benchmarking and evaluation accessible to AI science and engineering teams. We aim to build trust in the generative AI ecosystem by developing practical, reliable evaluations that align with real-world use cases and truly challenge the capabilities of foundation models. If we succeed, we will empower developers to select the best foundation models for specific tasks, help researchers understand model capabilities and limitations, and enable organizations to trust their generative AI infrastructure.
If you’re passionate about bringing transparency to the generative AI space, please reach out here.