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Teaching Assistant 2.0 using WizardLM

  • Upload any video and chat with its content. Also gives you the source. (For ex: {video_name}-{min_5_to_10})
  • This implementation only uses opensource models and tools.
  • Microservices hosted on the AWS and GPU services (embedding generation and LLM inference) are hosted on Lambda labs.
  • This project uses instructor-xl model for embedding db generation and WizardLM LLM for chat.

Architecture:

Screenshots:

  • I uploaded one of our Cloud Computing lectures which was about common terminologies used in Cloud Computing.

  • Chat interface:

Acknowledgement:

  • Thank you Keshav for helping out with frontend and designing.:relaxed:

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RAG based web app where you upload lecture videos (or any other video) and chat with its content.

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