Building Question Answering System using Transformers, Pinecone and Keras
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Updated
Sep 13, 2023 - Jupyter Notebook
Building Question Answering System using Transformers, Pinecone and Keras
This is the avishkaarak-ekta-hindi model, fine-tuned using the SQuAD2.0 dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering.
ALBERT Large Model for Question and Answering System
HealthQA_API provides a RESTful API built with FastAPI and deployed on Vercel. The API uses the sentence-transformers package with the all-MiniLM-L6-v2 model for question and answer retrieval.
QA app which uses Wikipedia articles to answer your questions
Blog - Question-Answer (QA) using Transformer is a type of artificial intelligence model that uses the Transformer architecture to find an answer to a question within a given context
Multiple LLM based models for NLP tasks. Starting with Question answering on custom data
Semantic Triple Assisted Learning For Question Answering Passage Re-ranking
A simple quiz app with sound built using JavaScript.
Question Answering System
Question Answering with HuggingFace transformers Bert-tiny and DistilRoBERTa
PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora
Extractive QA system using JaQUAd dataset
Pipeline for performing question-answering tasks using the Stanford Question Answering Dataset (SQuAD) 2.0.
This is a question answering bot that lets you find answers in research papers in Life Sciences using OpenAI's GPT-4 API.
A Chat bot that answer questions about certain topic in a given web page in 2 languages, Arabic and English
PaperMate-NLP-enabled Recommendation System
BERT QnA API to answer prompts based on Context. (Using CDN)
This is a simple quiz project created with the help of javascript.
Add a description, image, and links to the question-answering topic page so that developers can more easily learn about it.
To associate your repository with the question-answering topic, visit your repo's landing page and select "manage topics."