-
Book Overview & Buying
-
Table Of Contents
From Recipe to Chef - Become an LLM Engineer
By :
From Recipe to Chef - Become an LLM Engineer
By:
Overview of this book
This course takes you from AI novice to skilled LLM engineer using a creative culinary metaphor. You'll start with a flavorful intro to language models, their evolution, and how they predict text. As you progress, you'll explore how data quality, tokenization, and bias impact training, before diving into the model development process—training, tuning, and optimizing performance using real-world tools.
Prompt engineering is framed as seasoning your outputs, teaching techniques like zero-shot, few-shot, and chain-of-thought prompting. You’ll then explore deployment options, API creation, UI design, and cloud hosting to serve your models effectively. The journey wraps with hands-on app development, monitoring techniques, and capstone projects to solidify your expertise.
You’ll leave this course ready to build, deploy, and refine LLM-powered apps, with a strong portfolio and the practical skills needed for a career in AI.
Table of Contents (10 chapters)
What's Cooking? Intro to LLMs
Ingredients Matter – Understanding Data
Cooking at Scale – Model Training Basics
Prompt Engineering – Seasoning for the Perfect Output
Fine-Tuning – Customizing the Recipe
Evaluating LLMs – Taste Testing
Serving Your Dish – Deploying LLMs
Building LLM-powered Apps – Your Own Food Truck
Keeping it Fresh – Monitoring and Improving
Becoming a Master Chef – Career in LLM Engineering
This video is locked
