Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data with Python.
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
The results were fascinating, impressive, and sometimes surprisingly bad. Here are five tips that can help you get better results faster.