July 2024
Beginner to intermediate
248 pages
8h 9m
English
Content preview from Azure OpenAI Service for Cloud Native Applications
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Chapter 6. Elaborating Generative AI Business Cases
The first five chapters of the book focused on technical aspects related to cloud native architectures for generative AI, advanced capabilities with Azure OpenAI and other Azure services, and the operationalization of generative AI in the enterprise, including topics such as LLMOps and responsible AI. In Chapter 3, we even explored detailed technical approaches that leverage different Azure resources, with recommendations depending on the project scope and type of company data.
One of the main motivations for companies to adopt Azure OpenAI, and LLMs in general, is to generate significant advantages in the form of savings by automating language-based scenarios, or to create differentiation, to offer something better than their competitors, with the potential for increased revenue.
In this chapter, we will focus on the business considerations of building a generative AI project with Azure OpenAI Service, including project planning and evaluation topics such as cost scenarios and estimations, ROI, roadmapping, etc. We will cover the key aspects that will allow any technical implementation to become a sustainable and feasible generative AI initiative.
Premortem, or What to Consider Before Implementing a Generative AI Project
One of the most interesting managerial techniques is the premortem. A bit less known than the postmortem (in which we analyze a project after we have finished it), the premortem is done before starting the ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.