A person working at OpenAI, which developed the generative artificial intelligence ChatGPT, made statements about system engineering.
First of all, what is a prompt? In this regard, Amazon AWS: conveys: “A prompt is a natural language text that asks the generative AI to perform a specific task. Generative AI; It is an artificial intelligence solution that creates new content such as stories, conversations, videos, images and music. “It is powered by massive machine learning (ML) models that use deep neural networks pre-trained on massive amounts of data.” So what is demand engineering? Amazon AWS says the following in this regard: conveys: “Demand engineering is the process where you guide generative AI solutions to produce desired outputs. Although generative AI attempts to imitate humans, it requires detailed instructions to create high-quality and relevant output. In prompt engineering, you choose the most appropriate formats, phrases, words, and icons that direct the AI to interact with your users in a more meaningful way. Prompt engineers use creativity and trial and error to create a collection of introductory texts. “So an app’s generative AI works as expected.”
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Here is a noteworthy article on X (Twitter) on exactly these issues. annotator OpenAI employee Logan Kilpatrickan expression of contrary opinion that is unpopular or sensational-sounding “HotTake” by putting forward “Many people believe that systems engineering is the key to being competitive in the future.” believes it is a skill that needs to be learned. The reality is that directing/training AI systems, It’s no different than communicating effectively with other people.. The same principles apply in both cases. “The three basic skills that really matter in 2024 will be reading, writing and speaking.” said.