Generative AI

Generative AI is the class of AI systems that produce new content (text, images, audio, video, code) rather than only classifying or scoring existing inputs.

What is Generative AI?

Generative AI relies on models that learn the distribution of their training data and then sample from it. Modern generative AI is dominated by transformer-based language models, diffusion models for images, and multi-modal models that combine modalities. Generative systems are productive and creative, but their outputs are not deterministic and are not guaranteed to be true. Enterprise deployments wrap generation with retrieval, validation, redaction, and citation layers to make outputs reviewable.

How does Generative AI apply to enterprise AI?

Generative AI delivers value where draft quality and speed matter more than absolute correctness on first pass: customer support drafts, internal knowledge answers, document summaries, contract red-lines, sales email variants. High-risk decisions still need a human in the loop.