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  Transformer Language Model (Character-level GPT)
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- A character-level Transformer language model built from scratch in PyTorch, based on Andrej Karpathy's "Let's Build GPT" (https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhTvKZ) tutorial. Trained on William Shakespeare's Coriolanus.
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  Model
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  A causal (autoregressive) Transformer that predicts the next character given up to 256 previous characters. The model uses multi-head self-attention with causal masking, ReLU feed-forward networks, LayerNorm, and residual connections.
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  Transformer Language Model (Character-level GPT)
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+ A character-level Transformer language model built from scratch in PyTorch, based on Andrej Karpathy's "Let's Build GPT" tutorial. Trained on William Shakespeare's Coriolanus.
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  Model
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  A causal (autoregressive) Transformer that predicts the next character given up to 256 previous characters. The model uses multi-head self-attention with causal masking, ReLU feed-forward networks, LayerNorm, and residual connections.
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