Falcon LLMs 24-hours Hackathon

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Serve a LLM locally to connect your local Evernote database and preserve data privacy. Summarize your own knowledge base and identify areas to grow and improve. Using Langchain, Falcon and Streamlit.

Fritzlabs

ho-cyber

Aqsa

screw-horn

bsenst

Jaweria

Faraz24

Evernote is used by 250 million people worldwide to collect ideas, document meetings, and much more. It runs as a local application or in the cloud and has preceded comparable applications by the big tech companies. Once the note collection has grown over the years, it can become cumbersome to keep an overview and refer to past notes. Large language models offer help to improve search functions and build knowledge from old notes. With the dawn of open-source large language models such as Falcon by the Technology Innovation Institute, new possibilities have been opened. Since these models can be run on less powerful customer hardware, private Evernote data can now be processed, preserving privacy. 

Processing your private Evernote data with the support of Large Language Models in a privacy preserving manner.

"Fritzlabs team on Falcon LLMs 24-hours Hackathon Hackathon"

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