Prompt Engineering Best Practices
Get introduced to the best practices of prompt engineering.
Overview
Best practices are established methods or techniques recognized as the most effective and efficient ways to achieve a particular goal or outcome. Examples of best practices can include procedures, protocols, guidelines, and methodologies that have successfully achieved specific goals or objectives. They are widely accepted as the most effective way of doing things and are essential for achieving optimal results.
The principles
Let's talk about the principles of prompt engineering, including examples, as they provide guidelines for creating effective prompts that ensure accurate results.
Simplicity
Simplicity is an essential factor to consider when crafting prompts for natural language processing models. The prompts should be concise, clear, and easy to understand for both the model and the end user. Using overly complex language or providing unnecessary information can confuse the model and lead to inaccurate results.
For example, the following prompt may be too wordy and convoluted for the model to accurately understand and generate the desired output.
Considering the input factors of the user's geolocation, flavored