Prompt Engineering for GenAI. Patterns of Reliable Requests for Quality Results

The rapid development of AI is changing our lives, and keeping up with it is becoming increasingly difficult. Anyone who uses AI professionally quickly comes to understand that the quality of results directly depends on the quality of the input data. Therefore, we can no longer do without prompt engineering — a set of methods to enhance the reliability, efficiency, and accuracy of AI models.

Large language models (LLM) and diffusion models, such as ChatGPT and DALL-E, are constantly trained on publicly available texts and images from the Internet. Thus, almost anyone can use AI models to solve tasks that were previously resistant to automation.
This book will help you master and practically apply generative AI models. Thoughtless integration of LLM and diffusion models into workflows often yields rather controversial results. James Phoenix and Mike Taylor will teach you how to use prompt engineering to effectively implement AI into any process.