AI Product Challenges

Building AI products often involves navigating uncertainty around quality, as prototypes may not perform well in real-world applications. Companies are increasingly adopting Retrieval-Augmented Generation (RAG) techniques, with about 50% of use cases in production utilizing this method. While fine tuning was once a primary focus, many have shifted towards instruction-tuned models, leading to improved performance and easier optimization of workloads.