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llm-pipeline

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This project focuses on fine-tuning Meta’s LLaMA 2 model to develop a domain-specific medical chatbot capable of understanding and responding to patient and clinician queries with high accuracy. Leveraging parameter-efficient fine-tuning techniques—LoRA and QLoRA the project ensures resource-efficient training while maintaining high performance.

  • Updated Aug 8, 2025
  • Jupyter Notebook

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