Jupyter Notebooks of Course of LangChain for LLM Application Development by DeepLearning.AI
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Updated
Oct 17, 2023 - Jupyter Notebook
Jupyter Notebooks of Course of LangChain for LLM Application Development by DeepLearning.AI
🗨️ This repository contains a collection of notebooks and resources for various NLP tasks using different architectures and frameworks.
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.
NLP notebooks
Question-Answering with RAG and local LLMs over your Jupyter Notebooks
Tutorial of Question Answering using SQuAD in English and Spanish with BERT and BiDAF.
A jupyter notebook for topic-modelling, clustering and question-answering on COVID-19 research papers.
Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
📔 notes for Multi-hop Reading Comprehension and open-domain question answering
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."