大模型基础: 一文了解大模型基础知识

可以变成经纬度识别

the resources about the application based on LLM with RAG pattern

搜索真实文献并生成引用对应文献的AI论文

library supporting NLP and CV research on scientific papers

收集和梳理垂直领域的开源模型、数据集及评测基准。

Align MiniGPT4 with Qwen-Chat LLM. I just use 18.8k high-quality instruction-tuning data(Bi-lingual, from minigpt4 and llava). Just fine-tune the projection layer.

👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code]

[NeurIPS 2023 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards multimodal GPT-4 level capabilities.

Build Python LLM apps in minutes ⚡️

MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练、有监督微调、RLHF(奖励建模、强化学习训练)和DPO(直接偏好优化)。

Llama中文社区，最好的中文Llama大模型，完全开源可商用

An LLM-based tool to chat with your documents and databases, including a management system | 面向企业内部环境的大模型(LLM)知识库问答系统，包含后台管理系统

Awesome papers about unifying LLMs and KGs

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

定制化chatgpt：多种超低成本定制化的chatgpt平替方案，带模型和数据且完整训练预测流程，可在线使用(仅限用于学术测试)[已有ChatGLM的LoRA与pt2方案]

bilibili video course src code

中文nlp应用(数据、模型、训练、推理)

Prompt工程师指南，源自英文版，但增加了AIGC的prompt部分，为了降低同学们的学习门槛，翻译更新

Tackling biomedical event extraction (NER/RE) with prompts and deep learning models

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…

FSL-Mate: A collection of resources for few-shot learning (FSL).

MSc Dissertation Project on NER using comparitive study between BiLSTM-CRF architecture and BiLSTM-CRF with attention.

a kind pythoner ————>

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

基于深度学习框架pytorch实现的中文文本分类，目前包括textcnn,textrnn,textrcnn,textrnn+attention,transformer

An Open Toolkit for Knowledge Base Population（DeepKE是一个支持低资源、长篇章的开源知识抽取工具，具备命名实体识别、关系抽取和属性抽取等功能）

The 3 baseline methods for few-shot NER tasks

Implementation of Neural Relation Extraction with Selective Attention over Instances.