The case for nimble, targeted, retrieval-based models as the best solution for generative AI applications deployed at scale. — After a decade of rapid growth in artificial intelligence (AI) model complexity and compute, 2023 marks a shift in focus to efficiency and the broad application of generative AI (GenAI). As a result, a new crop of models with less than 15 billion parameters, referred to as nimble AI, can…