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This is a practical guide on how to generate better AI outputs by up-leveling your inputs

Created by: The AI Exchange Team

What is “prompt engineering”?

A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT-3, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.

Source: https://docs.cohere.ai/docs/prompt-engineering

Source: https://docs.cohere.ai/docs/prompt-engineering

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”

Source: https://www.youtube.com/watch?v=1NQWJjgi-_k

Source: https://www.youtube.com/watch?v=1NQWJjgi-_k

Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.

Going from beginner → advanced prompt engineer

As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how:

Spend time with the tools

Use your expertise in other areas to guide your prompting

Become a prompt researcher instead of engineer