Generative AI
Generative AI explained — how ChatGPT, Gemini, Claude and image models create new content, and how to use them in real business workflows.
Generative AI is a class of models that produce new content — text, images, audio, video, code — instead of just classifying data. It is the technology behind ChatGPT, Midjourney, Sora, and Copilot.
What you'll learn
- Text, image, video, audio and code generation
- Foundation models vs fine-tuned models
- Multimodal AI — text + image + voice in one model
- Business use cases: content, design, coding, research
- Cost per token and how pricing works
- Limitations: hallucination, IP risk, factual errors
Recommended tools
Deep-dive guides
Frequently asked questions
What is generative AI used for?+
Writing emails, drafting reports, generating images and video, coding, summarising documents, analysing data, and building chatbots — across every department in a modern company.
Is generative AI the same as ChatGPT?+
No. ChatGPT is one product built on OpenAI's generative models. Claude, Gemini, Llama, and Mistral are other generative AI models with different strengths.
Want Generative AI training for your team?
Nirmal Rabari delivers this topic as a live corporate workshop across India, UAE, UK and US.