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An autoregressive character-level language model for making more things

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This a testing version from the original repository: https://github.com/karpathy/makemore

We are making the full project step by step in the ipynb file for better understranding.

Bigram Model

We only see what letter might come after another letter. Used a file with BAngla names. The database is not much sophisticated. Need to refine it later.

We first made a statistical model based on counting the occurences of letter pairs. Then we made a neural network model that learns to do the same thing.

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An autoregressive character-level language model for making more things

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