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.

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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