Inspiration
The Tutorial and other big data applications.
What it does
Offer a complete website where you can upload log files that will be analyzed and can be asked questions.
How we built it
Build a independent frontend and backend and then connected it. The backend uses the pretrained model "all-MiniLM-L6-v2" for embedding and "gpt-3.5-turbo" for answering.
Challenges we ran into
Handling a large log file and designing a responsive frontend.
Accomplishments that we're proud of
Creating a working system that gives satisfactory results.
What we learned
How to use NLP methods to handle large data and how to design a system around it.
What's next for Project Never Done
Further development on the system would mean doing a more concrete log analysis with domain knowledge to reduce the token amount and training a custom LLM for answering more specific domain questions. GitLab link: git@gitlab.com:rs_hackathon/hackathon34.git
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