This guide provides resources to help ChatGPT users craft effective prompts for high-quality responses.

A prompt for a Large Language Model (LLM) is a text input that initiates a conversation or triggers a response from the model. However, it can be in other forms such as an image or audio.

Prompt engineering is the process of designing and optimizing input prompts to effectively guide a language model's responses.

Ensure your prompts are clear, specific, and provide enough context for the model to understand what you are asking. Avoid ambiguity and be as precise as possible to get accurate and relevant responses.

Prompt engineering often requires an iterative approach. Start with an initial prompt, review the response, and refine the prompt based on the output. Adjust the wording, add more context, or simplify the request as needed to improve the results.

Use descriptive adjectives to indicate the tone. Words like formal, informal, friendly, professional, humorous, or serious can help guide the model. For instance, "Explain this in a friendly and engaging tone."

We have many resources on best practices on crafting effective prompts. Though some may reference our API, the recommendations themselves are relevant for ChatGPT.

The following guides are not prompting specific, but will also help you get the most out of ChatGPT