The generative AI tech stack comprises the tools, frameworks, and technologies required to build and deploy generative AI applications. Key components include machine learning frameworks like TensorFlow and PyTorch, pre-trained models such as GPT or DALL·E, and cloud platforms like AWS, Azure, or Google Cloud for scalability. Additional tools include data preprocessing software, API integration platforms, and deployment pipelines. A robust generative AI tech stack enables developers to create applications capable of producing text, images, videos, and other content autonomously, revolutionizing industries from entertainment to healthcare.
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