The speaker says the hardest part of preparing an enterprise AI deployment is setting up evaluations, iterating in context and on the harness, and potentially moving down the stack to fine-tune an open-source model.

“So it's like I start up with GPUs, and I come up and like reinforcement learning as a service. Like the direction of travel I think about for our business, like we wanna go like data down, right? We wanna like the hardest part of getting an enterprise AI deployment in shape is like setting up evals and actually like iterating in context, iterating on your harness, and then like moving down the stack if you wanna actually fine-tune an open source model.”