Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs

by Francesco Esposito

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 crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programming—with specific techniques for patterns and frameworks—unlock 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

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

256 pages, Kindle Edition

Published April 3, 2024

Reviews

[Xianshun Chen · Rating 3 out of 5]

this book is more like a survey to me for having a high level of the prompt engineering and llm framework and technologies from azure open ai. couple of stuff that interested me includes the guidance framework but the content in the book about this framework is already outdated as guidance already underwent quite a bit of change since the book's publication. for other popular frameworks such as langchain and LlamaIndex, I prefer books such as "Learning LangChain" and "Building Data-Driven Applications with LlamaIndex"

[Mikhail Filatov · Rating 3 out of 5]

Too much space for the history of AI and LLMs, not enough details about frameworks and especially deployment details, like cost, performance, etc.