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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning Blog

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. These datasets encompass a broad range of topics and domains. Continual pre-training vs. fine-tuning Most available LLMs are general purpose and lack domain-specific abilities. On average, the FinPythia 6.9B

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