Components of an LLM prompt
An LLM prompt serves as the input to a large-scale LLM, guiding its response generation process. Crafting an effective prompt is crucial for obtaining accurate, relevant, and useful outputs. The components of an LLM prompt can vary depending on the task, application, and desired outcome. However, several key elements are often present in well-designed prompts:
- Task description:
An essential component of a prompt is a clear and concise description of the task the model is expected to perform. This can be an instruction, a question, or a statement that specifies the purpose of the interaction, such as summarizing a passage, translating text, or answering a query.
Here’s an example:
Summarize the following passage in two sentences:
- Context:
Providing context within the prompt helps the model understand the scope, constraints, and background information relevant to the task. This can include domain-specific terminology, examples, or explanations...
