Programming Large Language Models with Azure Open AI (Microsoft Press)
Wednesday, 15 May 2024

In this book 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. The book looks at prompting and conversational programming with specific techniques for patterns and frameworks. Concrete end-to-end demonstrations, featuring Python and ASP.NET Core, showcase versatile patterns of interaction between existing processes, APIs, data, and human input.

<ASIN: 0138280371>

 

Author: Francesco Esposito
Publisher: Microsoft Press
Date: April 2024
Pages: 256
ISBN: 978-0138280376
Print: 0138280371
Kindle: ‎ B0CVW2533F
Audience: AI developers
Level: Intermediate
Category: Artificial Intelligence

Topics covered:

  • 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

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