Recently, models trained using domain-specific data have outperformed general-purpose language models on tasks inside particular disciplines, such as science and medicine. Bloomberg and John Hopkins University have developed a hybrid approach for training a 50-billion parameter model, BloombergGPT, which serves a variety of financial sector operations. This model combines generic models with domain-specific data, providing competitive performance on general NLP benchmarks and best-in-class performance on financial tasks.
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