Generative AI
Foundation Models
Massive AI models (like GPT-4 or Claude) pre-trained on enormous datasets that can be adapted for thousands of different tasks.
Definition
Large-scale AI models trained on broad data at scale that can be adapted to a wide range of downstream tasks. They serve as the base upon which specialized applications are built through fine-tuning or prompting.
Why it matters
Shifted AI from building task-specific models to adapting general-purpose ones, fundamentally changed the economics of AI.
Related terms in Generative AI
Diffusion Models
AI that creates images by starting with pure noise and gradually refining it into a clear picture, like watching a Polaroid develop.
GANs (Generative Adversarial Networks)
Two AI models competing against each other, one creates fakes, the other tries to catch them, until the fakes are perfect.
Generative AI
AI that creates new content, text, images, code, music, video, rather than just analyzing existing data.
Multimodal AI
AI that can understand and generate multiple types of content, text, images, audio, and video, all at once.
From vocabulary to outcomes
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