Launching generative models into the world has never been so easy—and so complex. The many options for building out generative and large language models still require rigorous human QA.
ML engineers are anxious about their models meeting goals and conforming to regulations and expectations. When in-house isn’t enough, they’re turning to external partners who have the resources and expertise to refine a model so that it’s ready for prime time—AKA, the real world.