Generative AI applications are typically developed using versatile programming languages that support deep learning and data manipulation. Python is the most popular choice due to its rich ecosystem of libraries like TensorFlow, PyTorch, and NumPy.
JavaScript is also used for deploying generative models on the web, while R and Julia are preferred in academic research for statistical modeling. C++ and Java provide performance benefits in large-scale production systems. Each language offers unique strengths, depending on the use case and platform. To master building such intelligent systems, consider enrolling in a generative AI course: https://www.theiotacademy.co/advanced-generative-ai-course