Large Language Models (LLMs) have been shown to be effective on a variety of tasks; however, no LLM specialized for the financial domain has been reported in literature. In this work, we present BloombergGPT, a 50 billion parameter language model that is trained on a wide range of financial data. We construct a 363 billion token dataset based.. BloombergGPT is a game-changer for the finance industry. With its impressive 50 billion parameters and domain-specific training, it outperforms other large language models on financial NLP tasks.
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This large language model (LLM) has been specifically trained on a wide range of financial data to support a diverse set of natural language processing (NLP) tasks within the financial industry.. Large Language Models in Finance: A Survey. Yinheng Li, Shaofei Wang, Han Ding, Hang Chen. (Submitted on 28 Sep 2023) Recent advances in large language models (LLMs) have opened new possibilities for artificial intelligence applications in finance. In this paper, we provide a practical survey focused on two key aspects of utilizing LLMs for.
