- This repo contains Implementation of a Bigram Language Model from scratch using Pytorch
- The names.txt contains appox ~32K names
- After creating a bigram model, we evaluate it using Negative Log Likelihood loss function
- In Part-2, we use a Neural Network to generate random names based on Initial input
- We see the comparision between the Probability model we created and the Neural Networks model
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Implementation of a Bigram Language Model from scratch using Pytorch
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