Development of a question answering system for the university software Agnes.
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Updated
Nov 8, 2022 - Python
Development of a question answering system for the university software Agnes.
A Daliy Dialogue Context Generator trained with Bloom and GPT
A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling
Machine Comprehension on Squad Dataset using Match-LSTM + Ans-Ptr Network
Factoid Question Answering System - An advanced Open-domain Question Answering (ODQA) project that automatically answers factoid questions in Arabic and English languages using NLP and machine learning techniques
Comparative study of large language models in the field of open-book QA, with application to a real-life use case.
System uses Google Gemini which takes PDF and we have to ask question based on the context of that PDF. System will provide the answer of the question.
This repository contains a Streamlit-based Document Question Answering System implementing the Retrieve-and-Generate (RAG) architecture, utilizing Streamlit for the UI, LangChain for text processing, and Google Generative AI for embeddings.
It is an innovative repository housing a sophisticated Large Language Model (LLM) project, showcasing the intersection of advanced natural language processing and cutting-edge artificial intelligence. This repository serves as a comprehensive platform for the development, experimentation, and application of state-of-the-art language models.
Click below to checkout the website
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