Application of large language models in professional fields

Abstract

The large language model (LLM) is an emerging artificial intelligence technology. Increasingly, researchers are focusing on its application in professional fields. This paper provides a summary of the current state and progress of large language model applications in professional settings. It also analyzes the impact of prompt engineering on the generation results of large language models and explores evaluation methods for such models. Currently, LLM has found applications in various professional domains, including finance, healthcare, and education, among others. This technology not only enhances data processing efficiency but also offers higher levels of intelligence. The first chapter provides a brief introduction to the large language model, while the second chapter presents its applications in diverse fields. The third chapter discusses the influence of prompt engineering on LLM results and proposes a specialized domain-based question-answering (QA) approach. The fourth chapter covers evaluation methods for large language models. Finally, the paper concludes with a summary of future research directions and challenges related to LLM.

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