WebApr 16, 2024 · Prompt-based machine learning enables you to design your task using human language, which is often more intuitive once you get used to it. Also, because you can actually read the completions it is also much easier to quickly check whether your predictions make sense for your task. GPT models are very flexible. WebApr 21, 2024 · In this example prompt, we have some context (This is a list of startup ideas:) and some few-shot examples.The most likely token to come next in the document is a space, followed by a brilliant new startup idea involving Machine Learning, and indeed, this is what GPT-3 provides: “An online service that lets people upload a bunch of data, and then …
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WebPrompt engineering is the practice (and art) of designing and refining the input provided to models such as ChatGPT, GPT-3, DALL-E, Stable Diffusion, Midjourney, or any other generative AI model. The goal of prompt engineering is to improve the performance of the language model by providing clear, concise, and well-structured input that is ... WebJan 16, 2024 · Prompt engineering is a technique that is used to improve the performance of these models by fine-tuning the input data used to train them. This involves carefully selecting and structuring the input data in a way that maximizes its … WebFeb 24, 2024 · Prompt-based learning is a strategy that machine learning engineers can use to train large language models so the same model can be used for different tasks without … check attribute python