Simplifying Transformer Models for Faster Training and Better Performance

Machine Learning Tech Brief By HackerNoon

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Simplifying transformer models by removing unnecessary components boosts training speed and reduces parameters, enhancing performance and efficiency.
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Simplifying transformer blocks by removing redundancies results in fewer parameters and increased throughput, improving training speed and performance without sacrificing downstream task effectiveness.