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This Search Engine is made with the help of Google flan-t5-xxl LLM , The embedding that I have used is Instructor xl from HKULNLP .The whole thing is free of any charges ,no cost of embedding will be charged (May gets slow depends on internet and hardware capability) , The deployment will be set in local tunnel

Python 4.84% Jupyter Notebook 95.16%
instructor-embeddings large-language-models streamlit-webapp

ai_chatbot_hush's Introduction

AI_Chatbot_hush

The whole things is devloped in Googel collab ,using T4 GPU, for just asking one querry the GPU RAM were used upto 10GB , Due to hardware limitation I have used google Collab Hardware like RAM of 12 GB and GPU of 15 GB I have shared whole notebook to this Github and UI is pretty basic which was created on sreamlit. I have Trained on the personal data of Facebook,Linkedin,Google pay.

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