Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs
- By Francesco Esposito
- Published Apr 3, 2024 by Microsoft Press. Part of the Developer Reference series.
eBook
- Your Price: $34.39
- List Price: $42.99
- Includes EPUB and PDF
- About eBook Formats
This eBook includes the following formats, accessible from your Account page after purchase:
EPUB
The open industry format known for its reflowable content and usability on supported mobile devices.
PDF
The popular standard, used most often with the free Acrobat® Reader® software.
This eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.
Also available in other formats.
Register your product to gain access to bonus material or receive a coupon.
Description
- Copyright 2024
- Edition: 1st
- eBook
- ISBN-10: 0-13-828043-6
- ISBN-13: 978-0-13-828043-7
Use LLMs to build better business software applications
Autonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programmingwith specific techniques for patterns and frameworksunlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input.
Artificial Intelligence expert Francesco Esposito helps you:
- Understand the history of large language models and conversational programming
- Apply prompting as a new way of coding
- Learn core prompting techniques and fundamental use-cases
- Engineer advanced prompts, including connecting LLMs to data and function calling to build reasoning engines
- Use natural language in code to define workflows and orchestrate existing APIs
- Master external LLM frameworks
- Evaluate responsible AI security, privacy, and accuracy concerns
- Explore the AI regulatory landscape
- Build and implement a personal assistant
- Apply a retrieval augmented generation (RAG) pattern to formulate responses based on a knowledge base
- Construct a conversational user interface
For IT Professionals and Consultants
- For software professionals, architects, lead developers, programmers, and Machine Learning enthusiasts
- For anyone else interested in natural language processing or real-world
applications of human-like language in software
Downloads
Downloads
Follow the instructions to download this book's lesson files.
- Click the Download button below to start the download.
- If prompted, click Save.
- Locate the .zip file on your computer. Right-click the file, click Extract All, and then follow the instructions.
Sample Content
Table of Contents
CHAPTER 1 The genesis and an analysis of large language models
CHAPTER 2 Core prompt learning techniques
CHAPTER 3 Engineering advanced learning prompts
CHAPTER 4 Mastering language frameworks
CHAPTER 5 Security, privacy, and accuracy concerns
CHAPTER 6 Building a personal assistant
CHAPTER 7 Chat with your data
CHAPTER 8 Conversational UI
Appendix: Inner functioning of LLMs