Creating an AI involves defining its purpose, selecting tools like Python and TensorFlow, and gathering quality data for training. Using algorithms like neural networks, the model learns patterns and improves through testing and refinement. Once deployed on cloud services or local servers, it requires continuous updates and monitoring to enhance accuracy, efficiency, and real-world performance.
Sources: https://www.agicent.com/blog/how-to-make-an-ai/
