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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