question-answering

🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.

Fast transformer inference for Ruby

An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @跟我学机器学习

This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"

Minimalist web-searching platform with an AI assistant that runs directly from your browser. Demo: https://felladrin-minisearch.hf.space

tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.

Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.

KoalaQA 是一款 AI 大模型驱动的开源售后服务社区，提供 AI 回答、AI 搜索、AI 运营等能力，帮助你快速落地售后客服、社区问答、自助服务等场景，帮助团队显著降低人工运营成本、提升客户满意度与响应效率，助力实现 ZCR（Zero Contact Resolution）目标。

Dataset and benchmark for RAG on company internal documents.

Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc

🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

Ответы на вопросы на должность Frontend разработчика.

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI