Supervised vs Unsupervised Learning, Explained
Supervised learning trains on labeled examples to make predictions. Unsupervised learning finds structure in unlabeled data. Most real AI systems combine both.
Supervised learning trains on labeled examples to make predictions. Unsupervised learning finds structure in unlabeled data. Most real AI systems combine both.
RAG lets an AI model search your documents before it answers. It is cheaper than retraining and easier to check, but only as good as the search behind it.