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  This model was trained using the TinyStories dataset, specifically with the GPT-4 version.
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  # The Model
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- The name "Deception" stems from the model's unique architecture, which combines elements of both Transformer and RNN architechtures. This fusion creates a deceptive yet beneficial design.
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  The model features a context length of 1024, but in theory, it can be extended indefinitely through fine-tuning.
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  This model was trained using the TinyStories dataset, specifically with the GPT-4 version.
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  # The Model
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+ The name "Decepticon" stems from the model's unique architecture, which combines elements of both Transformer and RNN architechtures. This fusion creates a deceptive yet beneficial design.
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  The model features a context length of 1024, but in theory, it can be extended indefinitely through fine-tuning.
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