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In this chapter, we delve into the construction of sophisticated question-answering systems, leveraging both LLMs and SLMs. We explore practical methodologies for both extractive and abstractive QA, providing a comprehensive guide to building intelligent systems capable of understanding and answering questions based on provided contexts or general knowledge.

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Question Answering (QA)

  • 章节

  • 发表日期：

    2025年

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  • Venkata Gunnu,
  • Shubham Shah,
  • Anvesh Minukuri,
  • Jayanth Gopu

摘要

In this chapter, we delve into the construction of sophisticated question-answering systems, leveraging both LLMs and SLMs. We explore practical methodologies for both extractive and abstractive QA, providing a comprehensive guide to building intelligent systems capable of understanding and answering questions based on provided contexts or general knowledge.