Building an LLM-powered prototype is easy. A few lines of code, a hosted model, and you have an agent that classifies tickets, summarizes documents, or answers questions. The hard part comes after: me...
If you've been deploying Databricks Apps from Git, you know the workflow: push your code, open the Deploy dialog, enter a Git reference, and hit Deploy. It works, but requires a series of manual steps...
Establishing a trusted Continuous Integration/Continuous Deployment (CI/CD) process is crucial for effectively managing the lifecycle of your data and AI workloads in Azure Databricks. However, with n...
