You're reading from Tools and Skills for .NET 8 Get the career you want with good practices and patterns to design, debug, and test your solutions 

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781837635207

Length 778 pages

Edition 1st Edition

Languages

Tools

.NET

Concepts

Cloud Native

Author (1):

Mark J. Price

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Table of Contents (22) Chapters

Preface

1. Introducing Tools and Skills for .NET

2. Making the Most of the Tools in Your Code Editor FREE CHAPTER

3. Source Code Management Using Git

4. Debugging and Memory Troubleshooting

5. Logging, Tracing, and Metrics for Observability

6. Documenting Your Code, APIs, and Services

7. Observing and Modifying Code Execution Dynamically

8. Protecting Data and Apps Using Cryptography

9. Building an LLM-Based Chat Service

10. Dependency Injection, Containers, and Service Lifetime

11. Unit Testing and Mocking

12. Integration and Security Testing

13. Benchmarking Performance, Load, and Stress Testing

14. Functional and End-to-End Testing of Websites and Services

15. Containerization Using Docker

16. Cloud-Native Development Using .NET Aspire

17. Design Patterns and Principles

18. Software and Solution Architecture Foundations

19. Your Career, Teamwork, and Interviews

20. Epilogue

21. Index

Building an LLM-Based Chat Service

Integrating a large language model (LLM) like OpenAI’s GPT-4o into a .NET project can significantly enhance its capabilities, offering advanced natural language processing (NLP), content generation, and more.

This chapter is about building an LLM-based chat service that will fine-tune a standard model with custom information, including a biography of this book’s author and information from the Northwind database. This allows the user to ask questions about the author and a fictional corporation’s database.

At the time of writing, cloud-based LLM APIs cost money. In this chapter, we will use one of the least expensive options: OpenAI’s GPT-3.5 Turbo. As OpenAI says, “GPT-3.5 Turbo is our fast and inexpensive model for simpler tasks. gpt-3.5-turbo-0125 is the flagship model of this family, supports a 16K context window and is optimized for dialog.” The input cost is US$0.50 / 1 M tokens. The...