Building AI software involves a systematic approach to ensure functionality and scalability. Start by identifying the problem and gathering requirements. Develop a roadmap that includes data collection, preprocessing, and model selection. Design and train AI models using frameworks like PyTorch or TensorFlow. Integrate these models into software applications using APIs and programming languages like Python or Java. Conduct rigorous testing to refine performance and ensure reliability. Finally, deploy the software on cloud platforms or local servers for operational use. https://www.debutinfotech....
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