Explain the concept of convolution in image processing. How does it work in the context of edge detection, and why are kernels like Sobel or Laplacian particularly effective for this task?
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Why can't we use discrete numbers in positional embedding ?
transformer, LLM, RLHF x x x
How would you find all possible paths from a node to a set of nodes in a directed graph?
What might the output of this model suggest? (why was it unexpected output basically)
Describe the process of training a model.
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