AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.

Awesome Question Answering

Question Answering dataset generator of Document Visual in English and Chinese

A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.

A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.

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

Comparative study of large language models in the field of open-book QA, with application to a real-life use case.

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

A cutting-edge AI-powered phone agent designed for seamless voice interactions, dynamic data handling, and scalable communication. Perfect for modern sales and customer engagement solutions.

基于MySQL和Word2Vec模型实现一个简单的带对话机器人系统的医疗咨询平台

Question Answering Systems

It is a Mental Health Chatbot named CogniCare. Whether you're feeling overwhelmed, anxious, or just need someone to talk to, our Mental Health Chatbot is here to support you every step of the way. Remember, it's okay to seek help, and you don't have to go through this alone.

An LLM app leveraging RAG with LangChain and GPT-4 mini to analyze earnings call transcripts, assess company performance, using natural language queries (NLP), FAISS (vector database), and Hugging Face re-ranking models.

Machine Comprehension on Squad Dataset using Match-LSTM + Ans-Ptr Network

A factual question-answering environment designed to work both standalone and with the Atropos reinforcement learning framework. This project demonstrates how to create a custom environment that rewards language models for providing accurate and concise answers to factual questions.

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.

Successfully leveraged a pretrained BERT Transformer model for developing a question answering system.