question-answering

Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.

Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA

📔 notes for Multi-hop Reading Comprehension and open-domain question answering

Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.

NLP notebooks

Dataset and notebooks of `Knowledge Graph Based Retrieval-Augmented Generation for Multi-Hop Question Answering Enhancement` paper

Jupyter Notebooks of Course of LangChain for LLM Application Development by DeepLearning.AI

Question-Answering with RAG and local LLMs over your Jupyter Notebooks

A jupyter notebook for topic-modelling, clustering and question-answering on COVID-19 research papers.

Tutorial of Question Answering using SQuAD in English and Spanish with BERT and BiDAF.

Notebook for question-answering over PDF documents using RAG — chunking, embeddings, and LLM-generated answers.

Jupyter notebook experiment combining OpenAI embeddings with Pinecone vector search for retrieval-augmented Q&A.

If you want to learn these topics, i refer you to go through this notebook.

This repository contains a small set of Jupyter notebooks demonstrating key computer vision and vision–language tasks using pretrained models. The final notebook integrates these tasks into a realtime webcam application that performs captioning and classification concurrently.

This repository consists of a notebook, which will aid you to create a very simple BERT Question Answering Model

🎥 Enable real-time image captioning and classification with this Jupyter notebook collection, featuring pretrained models and live webcam applications.

🗨️ This repository contains a collection of notebooks and resources for various NLP tasks using different architectures and frameworks.

[SGU - 841448] Natural Language Processing coursework at Saigon University, including weekly notebooks, NLP exercises, and final-project source code, report, and slides

Advanced NLP with Contextual Question Answering: This notebook extracts, cleans, and processes text data from multiple files. It utilizes transformer models for contextual question answering and sentence generation. Perfect for exploring cutting-edge NLP techniques and comparing transformer model performances.