A generative AI tech stack consists of the essential tools, frameworks, and infrastructure required to build and deploy generative AI applications. Key components include deep learning frameworks like TensorFlow and PyTorch, cloud platforms such as AWS and Google Cloud AI, and advanced AI models like GPT, Stable Diffusion, and DALL·E. Companies use these technologies to create AI-driven content, automate design processes, and enhance creativity in various fields, including media, finance, and healthcare. Understanding the right tech stack is crucial for developing scalable, efficient, and innovative AI applications. Learn how businesses are leveraging the latest generative AI tools to drive automation, enhance customer experiences, and build the future of AI-powered solutions.