Generative AI

Generative AI uses advanced machine learning models, such as large language models, to understand patterns in data and generate new content that resembles what it has learned. For example, it can write articles, design images, compose music, or even create code. Unlike traditional AI, which follows set rules, generative AI responds flexibly to user prompts, making it useful for creative and problem-solving tasks. Popular tools include ChatGPT for text, DALL-E for images, and Sora for video.

Understanding generative AI is important because it is transforming how we create and interact with content in business, education, and daily life . It can boost productivity, spark creativity, and automate repetitive tasks, but also raises questions about accuracy, ethics, and responsible use .

To use generative AI, you provide a prompt—this could be a question, a description, or a request—through a chat box or interface, for example Promptitude.. The AI then analyzes your input and generates a response or new content based on what it has learned from its training data. For example:

• Ask for a summary of a long article.
• Request an image of a futuristic city.
• Generate code for a simple website. The quality of the output depends on both the data the AI was trained on and the clarity of your prompt. Learning to write effective prompts helps you get better results.

You want to design a logo for a new coffee shop. By describing your idea to a generative AI tool, it creates several unique logo options in seconds. This saves time and provides creative inspiration, showing how generative AI can support design work.