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- Prompt engineering is a concept in artificial intelligence, particularly natural language processing (NLP).In prompt engineering, the description of the task is embedded in the input, e.g., as a question instead of it being implicitly given.Prompt engineering typically works by converting one or more tasks to a prompt-based dataset and training a language model with what has been called "prompt-based learning" or just "prompt learning".Prompt engineering may work from a large "frozen" pretrained language model and where only the representation of the prompt is learned, with what has been called "prefix-tuning" or "prompt tuning". The GPT-2 and GPT-3 language models were important steps in prompt engineering.In 2021, multitask prompt engineering using multiple NLP datasets showed good performance on new tasks.Prompts that include a train of thought in few-shot learning examples show better indication of reasoning in language models. In zero-shot learning prepending text to the prompt that encourages a chain of thought (e.g. "Let's think step by step") may improve the performance of a language model in multi-step reasoning problems. The broad accessibility of these tools were driven by the publication of several open-source notebooks and community-led projects for image synthesis. A description for handling prompts reported that over 2,000 public prompts for around 170 datasets were available in February 2022. In 2022, machine learning models like DALL-E, Stable Diffusion, and Midjourney were released to the public. These models take text prompts as input and use them to generate images, which effected a new category of prompt engineering related to text-to-image prompting. ChatGPT is a natural language processing model developed by OpenAI that was made public in November 2022. It uses a variation of the GPT-3 architecture and is specifically designed for prompt engineering.ChatGPT has been shown to be effective in generating responses to various types of prompts, including open-ended and multiple choice questions. (en)
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- Prompt engineering is a concept in artificial intelligence, particularly natural language processing (NLP).In prompt engineering, the description of the task is embedded in the input, e.g., as a question instead of it being implicitly given.Prompt engineering typically works by converting one or more tasks to a prompt-based dataset and training a language model with what has been called "prompt-based learning" or just "prompt learning".Prompt engineering may work from a large "frozen" pretrained language model and where only the representation of the prompt is learned, with what has been called "prefix-tuning" or "prompt tuning". (en)
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