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Tools and Skills for .NET 8

Tools and Skills for .NET 8

By : Mark J. Price
5 (13)
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Tools and Skills for .NET 8

Tools and Skills for .NET 8

5 (13)
By: Mark J. Price

Overview of this book

Unlock the full potential of .NET development with Tools and Skills for .NET 8. Dive into source code management using Git and learn how to navigate projects while ensuring version control. Discover advanced debugging techniques and troubleshooting strategies to identify and resolve issues, and gain practical insights on documenting your code, APIs, and services, fostering project clarity and maintainability. Delve into the world of cryptography, ensuring confidentiality and integrity throughout your development lifecycle. Elevate your skills as you explore cutting-edge topics such as building intelligent apps using custom LLM-based chat services, mastering dependency injection, optimizing performance through testing, and Docker containerization. Harness the power of cloud-native development with .NET Aspire, unlocking the benefits of modern cloud platforms. With guidance on software architecture best practices, this book empowers you to build robust, scalable and maintainable applications. Advance your career with invaluable insights on job readiness and interview preparation, positioning yourself as a top-tier candidate in today's competitive job market. Whether you're a seasoned .NET professional or an aspiring developer looking to enhance your skills, this book is your ultimate companion on the journey to .NET mastery.
Table of Contents (22 chapters)
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21
Index

Introducing LLMs

The terms LLM and Generative Pre-trained Transformer (GPT) are often used interchangeably but they’ve got their nuances:

  • LLM is a more general term that refers to any language model with a large number (in the billions) of parameters that has been trained on vast amounts of text data and can perform a variety of language-related tasks, such as translation, summarization, question-answering, and more.
  • GPT is a series of models developed by OpenAI. It’s like saying iPhone versus smartphones; the iPhone is a type of smartphone. Similarly, GPT is a type of LLM. The “transformer” part refers to the architecture they’re built on, a groundbreaking model structure introduced in 2017 that’s particularly good at handling sequences of data, like sentences in a text. While all GPT models are based on the Transformer architecture, not all LLMs must be.

So, every GPT is an LLM, but not every LLM is a GPT.

How...

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