CREATIVE GENERATIVE AI
Traditional AI analyses data to make predictions, while generative AI creates new content from what it has learned. In this article, you will explore how the two differ, where each one is used and how Adobe brings generative AI to life.
Traditional AI analyses data and supports decision-making, while generative AI creates new content from what it has learnt. This article breaks down how each type works, where you are likely to encounter them and how Adobe Firefly brings the power of generative AI into everyday creative workflows.
Artificial intelligence (AI) also known as traditional AI is the simulation of human intelligence by a machine. Despite ancient mythologising and centuries of efforts to create machines that could act like humans, the first true example of machine learning came in 1951 when a checkers programme at the University of Manchester learnt how to play well enough to beat human players. This was the earliest form of game AI.
Today, AI is everywhere, especially in our phones and mobile apps, where it performs common tasks like facial recognition, speech recognition, spam filtering, grammar suggestions and language translation.
Limited memory AI can store knowledge, learn from it and perform new tasks based on that learning. This type of AI is useful for making predictions and it’s used to forecast future trends in everything from finance to the weather. This is the most common type of AI in use today, appearing in chatbots and self-driving cars.
These three categories form the basis of traditional AI: systems designed to analyse data, recognise patterns and support decision-making rather than create new content.
Generative AI offers a broad range of possibilities for creators of all kinds of content. Trained on enormous datasets, generative AI recognises patterns in that data and draws conclusions about what it’s learnt. 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.
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. With great text prompts, AI generated art, photorealistic images, and even paintings can be created.
Text-to-image prompt: ultra hd, a kangaroo skydiving
Traditional AI analyses existing data to recognise patterns and make predictions, while generative AI uses what it has learnt to create new content.
The three types of traditional AI you encounter every day (narrow AI, reactive machines and limited-memory systems) focus on tasks like recognising speech, filtering spam or forecasting trends. Generative AI builds on narrow AI, but goes further by producing text, images, music, sound effects and video using specialised models such as text generators, image generators, sound generators and video generators.
By understanding how each type works, it becomes easier to see where traditional AI supports decision-making and where generative AI enables fast, flexible creation.
Right now you can use Adobe Firefly as an AI image generator to turn text into images, create text effects, add or subtract elements in your own images and create new colour variations in vector artwork. But Firefly is also embedded in Adobe Creative Cloud apps like Photoshop and Illustrator, giving creators the power to transform their images quickly and then use precision tools that have been around for years to make generated content fit seamlessly with their own.
Soon you may be able to generate customised vectors, brushes and textures from text prompts, change the weather in a video with a few words or turn a 3D design into a photorealistic image. With existing features and those to come, creators of all abilities will be able to expand on their natural creativity and bring any vision to life.
Use generative AI and simple prompts to create the highest-quality output - images, text effects, colour palettes and more.
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