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Repository for machine learning terminologies and PyTorch techniques. Code snippets and commentary are provided through Jupyter notebooks. Code produced is original, with proper attribution given for instances where it is not. Topics covered: - torch-basics - torch.randint - torch.stack - torch.embedding - llm - attention masks - bigram model - bits and bytes model quantization
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ML notes, enclosed in Jupyter notebooks
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