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In this blog post, we will know the difference between Traditional AI and Generative AI.

Traditional AI is the branch of artificial intelligence that focuses on creating systems that can perform specific tasks, such as image recognition, natural language processing, or chess playing.

Traditional AI systems are usually based on rules, logic, or statistical models that are trained on large amounts of data.

Traditional AI systems are good at solving well-defined problems, but they have limitations when it comes to dealing with uncertainty, ambiguity, or creativity.

Generative AI is the branch of artificial intelligence that focuses on creating systems that can generate new data or content, such as images, text, music, or code.

Generative AI systems are usually based on neural networks that learn from data and can produce novel and diverse outputs.

Generative AI systems are good at solving open-ended problems, but they have challenges when it comes to ensuring quality, reliability, or ethics.