Topic 1 Question 2
A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents. Which solution meets these requirements?
Build an automatic named entity recognition system.
Create a recommendation engine.
Develop a summarization chatbot.
Develop a multi-language translation system.
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- 正解だと思う選択肢: C
C. Develop a summarization chatbot.
Explanation: A summarization chatbot can leverage large language models (LLMs) to automatically read and extract key points from legal documents by summarizing the content. This approach aligns well with the firm's need to condense lengthy documents into concise, relevant summaries, making it easier for users to quickly understand the main points without reading the entire document. LLMs are highly effective at summarization tasks, especially when fine-tuned on domain-specific data like legal text.
👍 3jove2024/11/03 - 正解だと思う選択肢: C
Building an AI-powered web application with document summarization and chatbot features can significantly enhance user experience by providing quick, relevant insights and interactive support
👍 2LR20232024/11/03 - 正解だと思う選択肢: A
NER is a feature of Amazon Comprehend specifically designed for this type of tasks
👍 2Aryan_102024/12/24
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