Description
This book provides a step-by-step introduction to the art of prompt engineering – the most essential skill for the efficient use of generative AI. Since the introduction of ChatGPT at the latest, Large Language Models (LLMs) have become ubiquitous. These systems deliver impressive answers to a wide range of questions, draft concepts and texts, translate, program, and handle tasks. However, the true added value in everyday business only unfolds when the questions are asked correctly. This is because the quality of the answers generated by an LLM depends primarily on the quality of the questions.
Table of Contents
Fundamentals: Large Language Models and Generative Pre-trained Transformers, Tokens and Context Windows.- Prompt Engineering: Concept, Evaluation, Formulation, Formats.- Frameworks for Prompts: including Prompt Chaining, Role Prompting, R-T-F, T-A-G, B-A-B, C-A-R-E, R-I-S-E.- Advanced Techniques: Zero-, One-, and Few-Shot Prompts, Cognitive Verifier Patterns, Chain-of-Thought Prompts.- Metaprompting: Foundations and Approaches.- AI Agents: Concept, Architectures, Use Cases.
