Hello Everyone! I've been spending a lot of time lately thinking about something that keeps coming up in almost every GenAI project I touch — how do you actually know if your model is working well? Not just in demos, but in production, day after day....
Building an Incremental Customer Data Migration Workflow in DatabricksBy Naveen AyallaIntroductionIn many enterprise environments, customer data is spread across legacy systems that were originally designed for operational processing rather than mode...
Great write-up, Naveen. Very practical and clear.I really like how you focused not just on migration, but on building a reliable incremental workflow with proper duplicate handling and governance. That’s where real value comes from.Also, connecting D...
What is RAG?RAG (Retrieval-Augmented Generation) on Databricks refers to building and running AI applications that combine:Retrieval systems (like vector databases or search over documents)Generative AI models (such as LLMs like GPT)within the Databr...
Databricks LLM Evolution and Future ProspectsDatabricks has progressed from a big-data compute engine to a full-stack AI powerhouse that designs, trains, and serves state‐of‐the-art large language models (LLMs). This article explores two key technica...
Thanks, @RiyazAliM, for checking out the blog post!More insights on Databricks LLM and Dolly are on the way in the next one. Stay tuned and keep learning!Best,Ayush
