Prompt word elements
Prompt words usually consist of the following elements:
Instructions : Specific tasks or instructions for the model to perform.
Context : Contains external information or additional context to guide the language model to respond better.
Input data : User input or questions.
It should be noted that the format of the prompt word depends iceland mobile database on the type of task you want the language model to complete, and not all elements are required. More specific examples will be provided in subsequent guides.
The prompt word can contain any of the above elements or a combination of multiple elements to guide the language model to better complete specific tasks. We will see in the subsequent guides that different tasks require different prompt word formats and use a combination of various elements.
Key points of design tips
Consider the following points to construct design cues efficiently:
Start with simplicity
Designing prompts is often iterative and may require multiple attempts to achieve the desired effect. Choosing a concise tool like OpenAI or Cohere is key to getting started. It is recommended that you start with basic prompts and then gradually introduce more elements and context that better meet your goals. It is very useful to version the prompts during this process. As you read this article, you will find that specificity, simplicity, and brevity in prompts tend to get better responses.