Today, I recommend the official Google white paper on Prompt Engineering, which systematically introduces technologies related to Prompt Engineering, including foundational knowledge of LLMs, prompting techniques, and many best practices. It is suggested that everyone who deals with LLMs take a look and systematically learn about prompt engineering, as this will greatly enhance the effectiveness of our prompt design.
White paper download URL: Google White Paper PDF
Anyone can write prompts: You don’t need to be a data scientist or a machine learning engineer – everyone can write a prompt. The white paper introduces the basic concepts of Prompt Engineering and its core role in the application of large language models (LLMs). The authors emphasize that while anyone can write prompts, designing effective prompts requires a comprehensive consideration of factors such as model selection, training data, configuration parameters (temperature, Top-K, etc.), wording style, and contextual structure. Prompt engineering is an iterative process, and improper prompts may lead to vague or inaccurate results. The white paper focuses on scenarios where models are called directly through Vertex AI or API to allow for more flexible control of configuration parameters.