How the Generative AI Works

[Chrisandrew]

AI analyzes user data to provide tailored content, product recommendations, and news feeds on platforms like social media and e-commerce sites.

Search engines are becoming more AI-powered to understand user intent better and deliver more relevant results, sometimes directly answering queries instead of just listing links.

The internet is seeing an increase in AI-generated text, images, and other media, which can lead to both helpful content and new forms of spam and misinformation.

AI analyzes user data to provide tailored content, product recommendations, and news feeds on platforms like social media and e-commerce sites.

Generative AI is a type of artificial intelligence that creates new content, such as text, images, and music, by learning patterns from large datasets. Unlike traditional AI, which follows predefined rules, generative AI uses models trained on vast amounts of data to generate original outputs based on prompts or inputs. This technology can be used to write stories, compose music, generate code, create realistic images, and more.

Training: Generative AI models are trained on enormous datasets—like millions of images or billions of lines of code—to learn complex patterns and structures.

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