Know which tool you are holding
AI is the outer circle. Machine learning sits inside it: systems that learn from data. Deep learning sits inside ML: neural networks with many layers. Generative AI is a capability layer on top: models that produce new content. An LLM is a specific kind of generative model trained on text.
Classic ML shines on tables of numbers: fraud scoring, demand forecasting. Deep learning shines on perception: images, speech, medical scans. Generative AI shines on creation: drafting, summarising, images, code. Matching problem to family is a core professional skill.
Modern models mix text, images, audio and video in one system. When you send a photo of a receipt and ask for a spreadsheet, you are using a multimodal model. Knowing the family tells you what to expect - and what to verify.
Systems that improve at a task by learning from data.
Neural networks with many layers; strong at perception.
Models that create new text, images, audio or video.
Large language model: predicts text at massive scale.
One model handling text, images, audio together.
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