BERT QnA API to answer prompts based on Context. (Using CDN)
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Updated
Jun 23, 2023 - HTML
BERT QnA API to answer prompts based on Context. (Using CDN)
StackOverflow web-based application in python with flask framework based on MVC architecture. Worked with MYSQL database and sqlalchemy ORM model to handle data. The user can ask a question, post answer, upvote, downvote, comments, views, search, answer later, bookmark.
Config files for my GitHub profile.
Javascript app for questions of 'test' type.
BERT fine tuning implementation used for Question Answering on the SQuAD dataset.
❓ Question Answer web app using Tensorflow and Django 🐍
Question Answering Demo using Tensorflow.js
deployment of ask me anything on streamlit cloud
A frontend for CKAN searches, so that we can experiment with result display
In this work we will study the construction of a system of answering questions, question answering systems have always been a major branch of AI and NLP
demo link - Project Demo Link - https://drive.google.com/file/d/1VRxPvPBDAQYC9fCT-XplrTzsymZtaH7w/view?usp=sharing
Extracting and processing of the frequently asked questions (FAQs) from the International Relations page and the Doctoral School page of the University of Valladolid in Spanish and English.
StackOverflow is a web-based application in python programming with flask framework and MVC architecture.
blog
I wanted to create a question answerer for Wikipedia articles. This project reads articles and responds to a set of questions, getting 31% accuracy on the test set of questions
Javascript version of the original divination oracle Q & A web machine
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