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of Transformer-based decoders;</li>
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<li>Memory requirements during training are <b>heavy with large datasets</b>
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(more than 32 GB RAM with more than 100 million words);</li>
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<li>Memory-based LLMs are not efficient at generation time when running relatively
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slower approximations of <i>k</i>-NN classifiers, <b>trading speed for accuracy</b>.</li>
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</ul>
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</div>
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</div>
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of Transformer-based decoders;</li>
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<li>Memory requirements during training are <b>heavy with large datasets</b>
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(more than 32 GB RAM with more than 100 million words);</li>
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</ul>
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</div>
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</div>
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