AWS | Azure | GCP | Generative AI | Cloud | Shrenik Parekh

🧠 Introduction Generative AI is transforming how businesses operate, from chatbots to automation and decision-making systems. But behind every AI tool lies a set of core components working together. This guide breaks down all major Generative AI concepts in a way that anyone can understand—no technical background required. We’ll also map these concepts across four major platforms: AWS Bedrock Microsoft Copilot Studio Google Vertex AI (Gemini) OpenAI (ChatGPT & APIs) 🌐 The Big Picture: How Generative AI Works At a high level, every AI system follows this flow: User asks a question (Prompt) System finds relevant information (Retrieval) AI processes the request (Inference) AI generates a response (Output) Behind the scenes, multiple components make this possible. 🧩 Core Components of Generative AI 1. 🧠 Large Language Model (LLM) What it is: The “brain” of the AI that understands and generates text. Simple analogy: A highly intelligent person who has read millions of books. Exampl...