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A.I. Teaches Programming



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Artificial intelligence teaches you how to incorporate your deep learning models into user interfaces for humans, using Gradio.

Created using #copilot for the code, Riva (https://developer.nvidia.com/riva) from NVIDIA for custom speech synthesis, and a handful of LLMs for scripting.

Things are getting interesting.

Neural Networks from Scratch book: https://nnfs.io
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18 thoughts on “A.I. Teaches Programming
  1. Crazy how much improvement we've seen already in this speech synthesis model. Would be interesting to plot out quality over time and estimate how long it will be before the speech synthesis model can fool your average viewer!

  2. Before I realized who's voice it is It sounded just like another robotic voice. But now that I know, it somehow become harder to tell that it is TtS. 😲

  3. model = keras.Model(inputs=inputs, outputs=outputs)
    Output tensors of a Functional model must be the output of a TensorFlow `Layer` (thus holding past layer metadata). Found: <keras.layers.core.dense.Dense object at 0x7f772e256790>

    This is the error im getting on this line
    I just copy paste your code

  4. Presumably the vocoder trained on the sound of your voice, but didn't really have a dataset of the words you said?

    Under the condition that this presumption is correct, I wonder if the synthesis quality would be improved with fully classified audio. i.e. supervised fine-tuning rather than just learning pitch/phonetic parameters

  5. For once I would have liked subtitles, the weird diction made it hard to understand for me. And I didn't understand what gradio is, need to rewatch😅

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