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A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具,将PDF转换成Markdown和JSON格式。
The official GitHub page for the survey paper "A Survey of Large Language Models".
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
翻墙-科学上网、自由上网、免费科学上网、免费翻墙、fanqiang、油管youtube/视频下载、软件、VPN、一键翻墙浏览器,vps一键搭建翻墙服务器脚本/教程,免费shadowsocks/ss/ssr/v2ray/goflyway账号/节点,翻墙梯子,电脑、手机、iOS、安卓、windows、Mac、Linux、路由器翻墙、科学上网、youtube视频下载、youtube油管镜像/免翻墙…
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
A free guide for learning to create ChatGPT3 Prompts
📺 Cross-platform IPTV player application with multiple features, such as support of m3u and m3u8 playlists, favorites, TV guide, TV archive/catchup and more.
A course on aligning smol models.
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
每个人都能看懂的大模型知识分享,LLMs春/秋招大模型面试前必看,让你和面试官侃侃而谈
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
The official Python library for the OpenAI API
中文对话0.2B小模型(ChatLM-Chinese-0.2B),开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调,给出三元组信息抽取微调示例。
Train a 1B LLM with 1T tokens from scratch by personal
A Survey of LLM Alignment (SFT & RLHF), and A Survey of RLHF methods (2023~2024)
Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛 2024 季军方案
An Open-Source Framework for Prompt-Learning.
DoTAT 是一款基于web、面向领域的通用文本标注工具,支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注,同时也支持迭代标注、嵌套实体标注和嵌套事件标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模,并设计了全新高效的标注方式,提升了用户体验和标注效率。此外,本工具增加了审核环节,…
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
A library for helping developers craft prompts for Large Language Models
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
A framework for prompt tuning using Intent-based Prompt Calibration