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

Running local LLMs

In this section, we will look at how you can download and run LLMs on your local computer.

Hugging Face

Hugging Face is a popular open-source platform for building and sharing state-of-the-art models in NLP. It is known for creating tools, libraries, and resources that democratize access to advanced machine-learning models. There are several areas where Hugging Face makes contributions to the LLM community:

Transformers library: This provides a wide range of pretrained models for various NLP tasks, such as text generation, translation, summarization, and question-answering.
Datasets library: This provides a vast collection of datasets ready for use in machine learning projects, covering a wide range of tasks and domains.
Model hub: This is a platform where users can upload and share their own models with the community, browse and download models shared by others, and access tools for evaluating and benchmarking model performance.