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Prompt engineering is the process of structuring an instruction that can be interpreted and understood by a generative artificial intelligence (AI) model. [1] [2] A prompt is natural language text describing the task that an AI should perform. [3]
“Here is the best prompt: ask ChatGPT to ‘please personalize my resume for [this job] at [this company]. Here is the job description [paste it]. Here is my resume [paste resume],'” Gardon ...
A human performs prompt engineering when they write a prompt. An AI performs in-context learning when it reads the prompt, understands it, and correctly responds. If you are an office worker and you want to know how to prompt GPT-4 to do your work for you, then you want an article about prompt engineering with practical information and lots of ...
Retrieval Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.
Prompt (natural language), instructions issued to a computer system (such as a text-to-image artificial intelligence) in the form of written or spoken language. Prompt engineering, a concept in artificial intelligence in which the description of the task is embedded in the input, e.g., as a question, instead of it being implicitly given.
In September 2023, OpenAI announced DALL-E 3, a more powerful model better able to generate images from complex descriptions without manual prompt engineering and render complex details like hands and text. [213] It was released to the public as a ChatGPT Plus feature in October. [214]
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