 Название: LLM Prompt Engineering For Developers : The Art and Science of Unlocking LLMs' True Potential
Автор: Aymen El Amri
Издательство: Leanpub
Год: 2023-09-01
Страниц: 302
Язык: английский
Формат: pdf (true), epub
Размер: 15.9 MB
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 a comprehensive 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) 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, Perplexity and techniques like ReAct and General Knowledge Prompting, equipping you with a comprehensive understanding of the domain.
This guide is designed to be hands-on, offering practical insights and exercises. In fact, as you progress, you'll familiarize yourself with several tools
- openai Python library: You will dive into the core of OpenAI's LLMs and learn how to interact and fine-tune models to achieve precise outputs tailored to specific needs.
- promptfoo: You will master the art of crafting effective prompts. Throughout the guide, we'll use promptfoo to test and score prompts, ensuring they're optimized for desired outcomes.
- LangChain: You’ll explore the LangChain framework, which elevates LLM-powered applications. You’ll dive into understanding how a prompt engineer can leverage the power of this tool to test and build effective prompts.
- betterprompt: Before deploying, it's essential to test. With betterprompt, you'll ensure the LLM prompts are ready for real-world scenarios, refining them as needed.
- Azure Prompt Flow: You will experience the visual interface of Azure's tool, streamlining LLM-based AI development. You'll design executable flows, integrating LLMs, prompts, and Python tools, ensuring a holistic understanding of the art of prompting.
- And more!
With these tools in your toolkit, you will be well-prepared to craft powerful and effective prompts. The hands-on exercises will help solidify your understanding. Throughout the process, you'll be actively engaged and by the end, not only will you appreciate the power of prompt engineering, but you'll also possess the skills to implement it effectively.
Contents:
1: Preface
2: From NLP to Large Language Models
3: Introduction to prompt engineering
4: OpenAI GPT and Prompting: An Introduction
5: Setting up the environment
5.1: Choosing the model
5.2: Choosing the programming language
5.3: Installing the prerequisites
5.4: Installing the OpenAI Python library
5.5: Getting an OpenAI API key
5.6: A hello world example
5.7: Interactive prompting
5.8: Interactive prompting with mutliline prompt
6: Few-shot Learning and Chain of Thought
7: Chain of Thought (CoT)
8: Zero-shot CoT Prompting
9: Auto Chain of Thought Prompting (AutoCoT)
10: Self-consistency
11: Transfer Learning
12: Perplexity as a metric for prompt optimization
13: ReAct: Reason + Act
14: General Knowledge Prompting
15: Introduction to Azure Prompt Flow
16: LangChain: The Prompt Engineer’s Guide
17: A Practical Guide to Testing and Scoring Prompts
18: General guidelines and best practices
19: Where and How Prompt Engineering is Used
20: Anatomy of a Prompt
21: Types of Prompts
22: Prompt databases, tools and resources
23: Afterword
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LLM Prompt Engineering For Developers : The Art and Science of Unlocking LLMs' True Potential 
