LLM Prompt Engineering For Developers: The Art and Science of Unlocking LLMs’ True Potential

Aymen El Amri

“Such a comprehensive view over Prompt Engineering. It is hard to find a book of this quality and depth covering what is a very emergent field.” ~ MR G STEWART (Amazon Review)

“Valuable and Readable. This is a friendly but rigorous guide to prompt engineering. It is full of clear explanations and easy-to-follow Python code. I read it to prepare to develop a specialized chatbot. I feel much better prepared now, and I have learned many things that I can’t wait to try!” ~ Iver (Amazon Review)

A practical approach to Prompt Engineering for developers. Dive into the world of Prompt Engineering agility, optimizing your prompts for dynamic LLM interactions. Learn with hands-on examples from the real world and elevate your developer experience with LLMs. Discover how the right prompts can revolutionize your interactions with LLMs.

In “LLM Prompt Engineering For Developers,” we take an exhaustive journey into the world of LLMs and the art of crafting effective prompts for them.

The guide starts by laying the foundation, exploring the evolution of Natural Language Processing (NLP) from its early days to the sophisticated LLMs we interact with today. You will dive deep into the complexities of models such as GPT models, understanding their architecture, capabilities, and nuances.

As we progress, this guide emphasizes the importance of effective prompt engineering and its best practices. While LLMs like ChatGPT (GPT-3.5 and GPT-4) are powerful, their full potential is only realized when they are communicated with effectively. This is where prompt engineering comes into play. It’s not simply about asking the model a question; it’s about phrasing, context, and understanding the model’s logic.

Through chapters dedicated to Azure Prompt Flow, LangChain, and other tools, you’ll gain hands-on experience in crafting, testing, scoring, and optimizing prompts. We’ll also explore advanced concepts like Few-shot Learning, Chain of Thought, and Perplexity, and techniques like ReAct and….