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Mastering prompt engineering, diffusion models, and multimodal AI

Mastering prompt engineering, diffusion models, and multimodal AI - Google Cloud Platform Tutorial

From the course: Google Cloud Generative AI Leader Cert Prep

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Mastering prompt engineering, diffusion models, and multimodal AI

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Let's explore some of the breakthrough innovations that power generative AI today, starting with prompt engineering. At its core, prompting is the art of shaping what an AI generates by carefully crafting the input. A basic prompt might produce a basic result, but a well-designed prompt with roles, instructions, and examples can produce much more accurate and structured outputs. This is where techniques like zero-shot, one-shot, and few-shot prompting come into play. For example, if you simply say summarize this e-mail, that's a zero-shot prompt. But if you give a sample summary first, you're entering the few-shot territory, and that context improves the response. Now let's switch gears to visual generation. Text generation uses language models, but visual creativity relies on something called a diffusion model. Diffusion models start with random noise and gradually refine that noise into an image using learned patterns from millions of training examples. These models can create…

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