Prompt engineering is a process used in AI where one or several tasks are converted to a prompt-based dataset that a language model is then trained to learn. Like most processes, the quality of the inputs determines the quality of the outputs. Prompt Engineering is also a very important part of AI image generators like Midjourney, Stable Diffusion and Dall-E.
Designing effective prompts increases the likelihood that the model will return a response that is both favorable and contextual. Prompt engineering is a process used in AI where one or several tasks are converted to a prompt-based dataset that a language model is then trained to learn. The purpose of prompt engineering is to design prompts that will elicit a desired response from a language model.
With the rise of Generative AI tools like GPT-3, GPT-4, Claude, Bard, ChatGPT, GitHub Copilot and the soon to come new large language models, prompt engineering will become more important.
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