question-answering

RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Generate question/answer training pairs out of raw text.

Tiny toolkit for air-gapped LLMs on consumer-grade hardware

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

How to create Question-Answering system combining Langchain and OpenAI

LLM-KG4QA: Large Language Models and Knowledge Graphs for Question Answering

[EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it ideal for efficient document retrieval and summarization.

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

pytorch를 사용하여 텍스트 전처리부터 RAG, 에이전트, LLM 파인튜닝을 정리한 Deep Learning NLP 저장소입니다.

🎥 Youtube Video Summarizer and Question Answering App Using Whisper and Langchain

An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.

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

With AskScribe, you can simply upload your PDF and engage in a conversation. Ask questions, seek clarification, and let AskScribe intelligently analyze and extract the most relevant information for you. Whether you're conducting research, studying, or simply trying to find that one elusive detail, AskScribe is your go to companion 🗂💬

The Natural Portuguese Language Benchmark (Napolab). Stay up to date with the latest advancements in Portuguese language models and their performance across carefully curated Portuguese language tasks.

Evaluation framework for paper "VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?"

Korean MRC (KorQuAD) with KoBERT