
Generative AI and How It Works
Generative AI predicts and constructs new text, images and other outputs from patterns learned during training.
Read the guide →Explore ten practical guides to artificial intelligence: concepts, real-world uses, tradeoffs and ways to make informed choices.

Generative AI predicts and constructs new text, images and other outputs from patterns learned during training.
Read the guide →
AI tools can draft, summarize and organize work when their outputs are checked against source material.
Read the guide →
AI-assisted development can speed up small tasks but still requires testing, code review and clear ownership.
Read the guide →
Machine learning uses data to learn patterns that can support predictions and decisions on new examples.
Read the guide →
Chatbots are conversational interfaces that can answer questions or carry out bounded tasks with suitable safeguards.
Read the guide →
Creative AI tools generate media from prompts or references, introducing new editing possibilities and rights questions.
Read the guide →
Business automation works best when a defined repetitive process has clear inputs, owners and exceptions.
Read the guide →
On-device AI features can improve everyday interactions when they respect battery limits and user privacy.
Read the guide →
The future of AI will be shaped as much by reliability and deployment constraints as by model capability.
Read the guide →
Responsible AI starts with protecting data, testing outputs and defining when a human must decide.
Read the guide →