Prompt Engineering Fundamentals

Prompt engineering fundamentals involve understanding how language models process and respond to text prompts. This includes knowledge of tokenization, context windows, and embedding vectors. Effective prompt engineering requires a deep understanding of the strengths and limitations of different language models, as well as the ability to design prompts that elicit specific, accurate, and relevant responses. This can be achieved through techniques such as prompt templating, adversarial testing, and human evaluation.