August 2025
Intermediate to advanced
460 pages
9h 55m
English
In Part 2 of this book, we explore how LLMs can be applied to consistently generate quality code. It begins with a high-level guide on how LLMs work and then applies them to different tasks. By the end of this part, you will understand which tools (ChatGPT, OpenAI API, and GitHub Copilot) can be best applied for a given task.
This part expands into prompt engineering, including advanced topics such as few-shot learning, Chain-of-Thought reasoning, iterative prompting, and chaining to better understand and refactor code. It concludes with an exploration of fine-tuning methods.
This part contains the following chapters:
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