Compile the right research team.
Assuming it’s your organization’s priority to do innovative AI research, the firstone or two researchers. Some researchers will build from scratch, and others will take your data and try to find a pre-existing model that fits your needs. At Unbabel, we did this early by hiring Ph.D.s and getting started quickly with research for a yet.
You’ll need to hire research engineers oroperations professionals from there. Research is only a small part of using AI in production. Research engineers will then release your research into production, monitor your model’s results, and refine it if it well (or otherwise is not operating as planned). Often, they’ll use automation to simplify monitoring and deployment procedures instead of doing everything manually.
None of thiswithin the scope of a research scientist — they’re most used to working with the data sets and models in training. That said, researchers and engineers will need to in a continuous feedback loop to refine and retrain models based on actual performance in inference.
Choose the problems you want to solve
The CSET research cited above shows that 85% of rest of the world is different: Most labs in other countries, such as India and Israel, focus on growth.European AI labs do some form of basic AI research and less than 15% focus on development. The