Generative AI as A Cloud Service

In this video, we break down how Generative AI actually works behind the scenes on the cloud — not just what it does, but how it runs. From typing a prompt in ChatGPT to getting a response in seconds, there’s a powerful system working in the background — involving cloud servers, massive models, and real-time inference. We explain: How AI processes your input step-by-step Why cloud computing is essential for modern AI What foundation models and AI-as-a-Service mean How technologies like RAG and vector databases improve accuracy The role of GPUs, TPUs, and cloud infrastructure Challenges and the future of AI If you want to truly understand how modern AI systems are built and deployed, this video gives you a clear and simple explanation. 🚀 Topics Covered Generative AI, Cloud Computing, AI-as-a-Service, Foundation Models, ChatGPT Pipeline, RAG, Vector Databases, AI Architecture, Real-Time Inference 🎯 Who This Video Is For Engineering students AI/ML beginners Anyone curious about how AI actually works