Generative AI Tech Stack

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Liam Clark 03 Feb 2025

Dive into the generative AI tech stack that powers innovative applications.

A Generative AI tech stack consists of the essential tools, frameworks, and technologies required to build, train, and deploy AI models that generate text, images, code, music, and more. Key components include deep learning frameworks like TensorFlow and PyTorch, large-scale language models such as GPT and BERT, and data processing tools like Hugging Face Transformers. Cloud platforms like AWS, Google Cloud AI, and Azure AI provide scalable infrastructure, while API services facilitate seamless model deployment. Supporting technologies, such as vector databases, reinforcement learning, and synthetic data generation, also play a crucial role in optimizing AI applications for diverse industry needs.