Labeling and Classification Strategies

The speakers discuss various strategies for labeling and classification tasks, including user feedback, generative models, and smaller language models. They also compare the use of Retrieval Augmented Generation (RAG) model versus fine-tuning a model, and the trade-off between model size and latency. The chapter highlights the importance of a great model even with retrieved context.