Where generative AI fits in.
Generative AI is a subset of narrow AI, but it offers a broad range of possibilities for creators of all kinds of content. Trained on enormous datasets, generative AI recognizes patterns in that data and draws conclusions about what it’s learned. Then it can take a text description and apply that machine learning to create new patterns and produce something new.
Part of what makes generative AI so exciting is how easy it is to use. By typing a simple text prompt into a field, you can get near-immediate results. Plus, there are so many ways generative AI can help with tasks big and small.
Web developers use it to fix bugs in computer code. Companies use it for customer service chatbots. Scientists use it for diagnostics and research. Teachers, writers, artists, and musicians all use it to brainstorm and quickly try out new ideas.
Types of generative AI.
Just as other subsets of AI are built for specific purposes, generative AI includes different types of models built to produce different types of content.
Text generation is perhaps the most talked about form of AI, and chatbot AI models have become popular and appear in the news regularly. People use these text generators for everything from proofreading to writing surveys to creating code.
AI generators like Adobe Firefly can turn a text prompt into an image. They have a wide range of uses for artists, content creators, and marketers. Trained on hundreds of millions of images and captions, AI image generators give anyone the power to describe what they want and quickly generate a new image based on a text description.
Artists and designers can use this technology to brainstorm new ideas and try new ways of imagining their work without devoting hours to each iteration. Marketers and independent content creators can produce beautiful images quickly even if they aren’t experienced artists.
Just as image generators are trained on huge datasets of images, AI music generators are trained on music and metadata. They can identify patterns in music genres and the work of specific artists and create new music based on those characteristics.
This form of generative AI combines all three forms of video, sound, and image generation. Trained on data that includes audio, video, and text, these models can help video producers save time editing, adding captions, resizing for different outputs, and even generating new video content based on text prompts.
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