A generative AI tech stack consists of the essential tools, frameworks, and infrastructure used to develop AI-driven content creation models. This includes deep learning frameworks like TensorFlow and PyTorch, cloud computing platforms like AWS and Google Cloud, and specialized AI libraries for NLP and computer vision. Companies developing generative AI solutions rely on transformer models like GPT-4 and Stable Diffusion for text and image generation. Databases, GPUs, and AI model deployment tools are also key components of a robust generative AI stack. Whether you're building AI-powered chatbots, creative applications, or automated content generation platforms, understanding the generative AI tech stack is crucial. Explore the best tools and frameworks to create powerful, scalable AI solutions.
Liam Clark
86 Blog posts