A generative AI tech stack comprises the tools and frameworks used to develop and deploy generative models. Key components include deep learning libraries (such as TensorFlow or PyTorch), pre-trained models, and data processing tools. Additionally, cloud computing platforms often support resource-intensive training processes. This tech stack enables developers to create applications that generate content, from text to images and beyond. A well-structured generative AI tech stack enhances efficiency and scalability, allowing for innovative solutions across various industries.
Jack Farris
66 Blog posts
