Machine Comprehension on Squad Dataset using Match-LSTM + Ans-Ptr Network
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Updated
May 15, 2023 - Python
Machine Comprehension on Squad Dataset using Match-LSTM + Ans-Ptr Network
Question Answering Systems
A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling
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.
A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.
Development of a question answering system for the university software Agnes.
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
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.
Report and presentation of the paper "TAPAS: Weakly Supervised Table Parsing via Pre-training"
Comparative study of large language models in the field of open-book QA, with application to a real-life use case.
A Daliy Dialogue Context Generator trained with Bloom and GPT
Question Answering dataset generator of Document Visual in English and Chinese
Successfully leveraged a pretrained BERT Transformer model for developing a question answering system.
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.
A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.
Awesome Question Answering
This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
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