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主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
《Designing Data-Intensive Application》DDIA 第一版 / 第二版 中文翻译
high performance coding with golang（Go 语言高性能编程，Go 语言陷阱，Gotchas，Traps）
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
DigitalPlat FreeDomain: Free Domain For Everyone
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personali…
🦜🔗 The platform for reliable agents.
分享一些好用的 Dify DSL 工作流程，自用、学习两相宜。 Sharing some Dify workflows.
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) 7天用Go动手写/从零实现系列
「Golang学习+面试指南」一份涵盖大部分 Golang程序员所需要掌握的核心知识。准备 Golang面试，首选 GolangGuide！
【超全golang面试题合集+golang学习指南+golang知识图谱+入门成长路线】 一份涵盖大部分golang程序员所需要掌握的核心知识。常用第三方库(mysql,mq,es,redis等)+机器学习库+算法库+游戏库+开源框架+自然语言处理nlp库+网络库+视频库+微服务框架+视频教程+音频音乐库+图形图片库+物联网库+地理位置信息+嵌入式脚本库+编译器库+数据库+金融库+电子邮件库…
一份通俗易懂、风趣幽默的Java学习指南，内容涵盖Java基础、Java并发编程、Java虚拟机、Java企业级开发、Java面试等核心知识点。学Java，就认准二哥的Java进阶之路😄
⚡🔥Hcode Online Judge(HOJ)🔥⚡：基于SpringCloud与Vue前后端分离，分布式架构的在线测评平台OJ (An open source online judge system base on SpringBoot, Springcloud Alibaba and Vue.js !)
mini-spring is a simplified version of the Spring framework that helps you quickly familiarize yourself with Spring source code and master Spring's core principles. It extracts Spring's core logic …
🌟 Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）
《hadoop权威指南》、《大数据架构师指南》、《大数据之路：阿里巴巴大数据实践》《Apache+Kylin权威指南》《MongoDB权威指南》《NOSQL数据库入门》《Lucene实战》《Elasticsearch权威指南》
[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Awesome Papers About Performing Prompting On Graphs
Official Pytorch implementation of "Patch-wise Graph Contrastive Learning for Image Translation" (AAAI 2024)