The Elements of a Prompt
The structure of a prompt can vary greatly depending on the application. Regardless of whether it is an image, video, music or audio, you will find the following building blocks in all prompts :
Instructions
This describes the task that the AI model should perform. The length of an instruction depends on your intention and the quality of your result. Do you want short and precise answers? Then a compact instruction is sufficient .
Are you facing a difficult problem that requires a complex belarus number dataset thought process? A detailed description will help the AI to generate the result you want.
payload
This is additional content, such as text and images , that you provide to the AI to solve the task.
A PDF can be summarized , the most important highlights can be extracted from an article , and an image can form the basis for a similarly aesthetically pleasing series of images .
context
Often this involves assigning a role for the AI model to play in creating a piece of content or solving a problem, or other details that make it easier for the AI to complete your task faster.
examples
An AI delivers even better results if you give it additional examples. This is because the AI model then recognizes a pattern that it can apply to your task. These examples do not have to be text or images. You can also ask the AI to extract them from other sources.
Instructions for AI text tools usually contain all of the above elements. Other AI generators such as text-to-image or text-to-video do not require all of the above aspects to produce a meaningful description . They may require additional elements, such as information about image resolution, image style, image perspective or lighting.
8 different prompting techniques in detail
Overview of various prompting techniques
There are different methods that can help you achieve better results. For some prompting techniques, the examples help you try out the approach of the different methods yourself and thus better understand them .
Chain-of-Thought Prompting
Chain of Thought Prompting in ChatGPT 4
This technique helps Large Language Models (LLMs) solve complex problems by guiding them through a step-by-step thought process . You give the model a few examples that clearly illustrate this thought process. Ideally, the model will then follow this thought process to arrive at the correct answer.