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* **Fundamentals of Neural Networks:** Understanding the basic building blocks of deep learning.
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First up, we have **automatic speech recognition (ASR)**. This is the stage where the system takes the spoken words and converts them into text. The accuracy of ASR is super crucial because if the system doesn't understand what you're saying in the first place, well, everything else falls apart. Next is **natural language understanding (NLU)**. NLU takes the transcribed text and figures out what the user actually *means*. It's about understanding the intent behind the words. Are they asking a question? Making a command? This is where the AI gets smart.
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