Generative AI

Generative AI refers to systems that create new content — text, images, code, audio, video, or 3D models — rather than just classifying or predicting from existing inputs. The category exploded into public consciousness in late 2022 with the release of ChatGPT and Stable Diffusion, though the underlying techniques (transformers, diffusion models, GANs) had been developing for years. Today generative AI powers tools like ChatGPT for text, GitHub Copilot for code, Midjourney and DALL-E for images, ElevenLabs for voice, Suno for music, and Sora for video. Enterprise applications span marketing copy generation, software development, customer service, contract analysis, drug discovery, and synthetic data creation. Generative AI has driven the most consequential AI governance, AI policy, and AI compliance discussions in years — including the EU AI Act, the U.S. Executive Order on AI, and corporate acceptable-use policies. Every responsible AI program must address generative AI risks including hallucination, copyright, deepfakes, prompt injection, and data leakage as part of AI risk management.

Govern Generative AI Without Lock-In — Use Centralpoint: Oxcyon's Centralpoint AI Governance Platform supports both generative and embedded models — ChatGPT, Gemini, Llama, and others — meters every LLM call, and keeps prompts and skills behind your firewall. The platform also powers a fleet of chatbots deployable to any portal with one JavaScript line, so generative AI scales safely.


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