Скачать или смотреть Calling a Databricks LLM Deployment via REST API

Call me a Dork but when I found out that Databricks had released a REST API interface for LLM's served up through Mosaic I couldn't resist jumping in with both feet.

In this short video I'm going to walk you through how you can create Deployment Endpoint for one of their Foundational Large Language Models. Then I will show you how to easily invoke that REST API endpoint using a goofy dad joke.

But that's just the warmup act. Once you understand how simple it is, I will jump into setting up a real business use case "How can we augment our understanding of the data that we see visually by tapping in to the collective wisdom of the world held in those LLM's?

Next we will walk through how I configured the Application Automation piece technically, and it just may blow your mind how easy it is. Finally I will end with one final technical piece about how I configured a Qlik Advanced Analytics Connector to bring it all together.

[As mentioned in the video I have a Qlik Community Post available that walks you through the same steps I used in this video, but with a different use case. You may need to read through it: https://community.qlik.com/t5/Member-Artic...]

00:00 Introduction
01:15 Creating a new Databricks Deployment Endpoint
02:53 Basic Qlik Call to a Databricks Deployment Endpoint
06:00 Real Business Use Case Identified
07:25 Real call to the Databricks Deployment Endpoint
08:58 Advanced Analytics Connector Configuration