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kabirrajsingh avatar kabirrajsingh commented on August 27, 2024

Hi @ChakshuGautam . There can be 2 approaches to solve this, the first one involving LLMs, langchains and things like OpenAI call agents but I feel this might be an overkill for now.
The second one which I was thinking might be more suitable at the moment.
It involves first

  1. preprocessing the dataset to extract individual sentences or segments of text
  2. We can then use named entity recognition (NER), keyword extraction, or topic modeling to identify important elements in the text.
  3. We segment the text into smaller portions based on the identified key concepts
  4. We employ some transformer based model to generate question based on the small text portion
  5. We use paraphrasing techniques to vary the wording of the questions generated
  6. We make validation metrics such as overlap and sentence coverage.

Would like to discuss more and get your opinions.

from ai-tools.

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