Coding & Development

This GitHub repository, ChatGPT-Prompt-Engineering-for-Developers-in-Chinese, offers unofficial Chinese and English subtitles for the popular "ChatGPT Prompt Engineering for Developers" course. It aims to make the technical content accessible to a broader audience, particularly Chinese-speaking developers. The repository includes core bilingual subtitles, as well as separate English and Chinese subtitle files, along with course notebooks. This resource is invaluable for those looking to master prompt engineering for ChatGPT, covering best practices, sentiment classification, text summarization, email writing, translation, and building chatbots. It also provides insights into GPT API development, allowing users to extend their learning into building impressive applications.

deep_learning is an open-source GitHub repository that serves as a collection of summarized notes and experimental results in deep learning. It is designed for non-professional NLP and image engineers, as well as those new to deep learning, to quickly get started and implement solutions. The repository covers a wide range of topics including Bert, CNN, DeepFM, DeepInterestNetwork, Doc2Vector, ESSM, MLPs, RCNN_GRU, RNN, SSD, TextCNN, Wide & Deep, XDeepFm, and YoutubeNetwork. It aims to provide practical insights and code examples for various deep learning applications, making it easier to understand and apply complex models in real-world scenarios.

Formshare is a free AI form builder designed to create conversational online forms without requiring any coding. Users can simply describe their desired form in natural language, and Formshare's AI will craft an engaging and interactive form. It aims to make forms feel more like a conversation, moving beyond traditional, boring interfaces. The platform offers unlimited forms and responses, dynamic input elements, and multilingual support, allowing users to connect with a wider audience. Formshare also provides instant sharing options via a simple link or embedding on a website, and integrates with popular everyday tools for streamlined data collection.

llm-cookbook is an open-source project offering a comprehensive, developer-focused introduction to Large Language Models (LLMs). It translates, reproduces, and optimizes content from Andrew Ng's LLM course series, making it highly accessible for Chinese developers. The curriculum spans essential topics from Prompt Engineering to RAG development and model fine-tuning, guiding learners through practical applications. It includes both foundational 'required' courses for core skills and 'elective' courses for specialized areas like Gradio for AI application building, evaluating generative AI, and advanced RAG techniques. The project also provides translated code examples, online reading materials, and PDF downloads, with a focus on adapting content for the Chinese linguistic context.

Mavenai Technologies is an insurtech startup leveraging Artificial Intelligence and Machine Learning to automate motor insurance claims. Beyond insurance, they provide AI as a service across multiple industries, offering solutions like smart claim processing, drone imagery analysis, satellite imagery analysis, and AI chatbots for automating manual tasks. Mavenai also specializes in industrial inspection for defect detection using AI. A key focus for the company is assisting clients in transitioning from Web 2.0 to Web 3.0, including services related to NFT-based solutions, DeFi, and blockchain consulting, advising, and education. They work with a diverse clientele including insurance providers, government agencies, AI companies, space agencies, and drone companies.

Prompt-tutorial is a GitHub-based open-source resource dedicated to teaching prompt engineering for large language models (LLMs). It offers a structured series of lessons covering fundamental principles, advanced strategies, and common limitations in prompt creation. The tutorial emphasizes clear and explicit instructions, structured output requirements, and iterative prompt optimization. It includes practical examples for tasks like text summarization, inference, language translation, and content generation, making it suitable for individuals looking to enhance their skills in interacting with LLMs without requiring a technical background.

PyTorch-Tutorial-2nd is a comprehensive, open-source tutorial designed for individuals ranging from beginners to experienced deep learning engineers. It systematically covers PyTorch fundamentals, including environment setup, data handling, model building, optimization, and visualization. The tutorial delves into practical applications across computer vision (image classification, segmentation, object detection, GANs, Diffusion models), natural language processing (RNN, LSTM, Transformer, BERT, GPT models for text classification, machine translation), and large language models (Qwen, ChatGLM, Baichuan, Yi, GPT Academic). Furthermore, it provides in-depth guidance on industrial deployment, covering ONNX and TensorRT principles, model quantization (PTQ, QAT), and acceleration techniques, enabling users to master PyTorch for real-world project implementation.

SuperCLUE is a comprehensive benchmark designed for evaluating Chinese large language models (LLMs). It assesses LLMs across four primary capability quadrants: language understanding and generation, professional skills and knowledge, Agent intelligence, and safety, further breaking these down into 12 foundational abilities. The platform provides detailed rankings and reports, including a SuperCLUE total leaderboard, open multi-turn question leaderboard, and objective question leaderboard. It also features specific evaluations for AI Agent capabilities, focusing on tool use and task planning, which are critical for developing advanced AI assistants. SuperCLUE aims to provide a robust framework for researchers and developers to compare and improve Chinese LLMs.

system_prompts_leaks is a comprehensive, regularly updated GitHub repository that compiles extracted system prompts, system messages, and developer instructions from a wide array of popular AI chatbots and coding assistants. This includes models such as ChatGPT (GPT-5.4, GPT-5.3, Codex), Claude (Opus 4.6, Sonnet 4.6, Claude Code), Gemini (3.1 Pro, 3 Flash, CLI), Grok (4.2, 4), and Perplexity. The repository serves as a valuable resource for understanding how these advanced AI systems are instructed and behave, offering insights into their underlying configurations and personas. It is an open-source project, welcoming contributions from the community to expand its collection of prompts and models.

Tutorial, developed by InternLM, is an open-source learning platform designed for developers to master large language models (LLMs) and vision-language models (VLMs). It offers a structured curriculum through 'camps' with challenges, documentation, and video tutorials covering foundational topics like Linux, Python, and Git, as well as advanced concepts such as prompt engineering, RAG implementation, model fine-tuning with XTuner, and deployment with LMDeploy. The platform also includes practical applications like building intelligent agents with Lagent and multi-modal model deployment. Participants can earn computational resources and certificates upon completing advanced challenges, fostering a community-driven learning environment.

yu-ai-code-mother is an AI application generation platform designed for enterprise-level AI development, built on Spring Boot 3 and LangChain4j. It offers intelligent code generation based on user requirements, allowing AI to analyze and select appropriate strategies for code file creation with real-time streaming output. The platform also features a visual editor for generated applications, enabling users to modify web elements through AI interaction. Key capabilities include one-click deployment to the cloud with automatic cover image capture and shareable access, as well as comprehensive backend management for users, applications, system monitoring, and AI call tracking. This project aims to teach AI agent development, LangGraph4j workflows, and full-stack development with Vue 3 and Spring Cloud microservices.

dimBase is a platform designed to streamline the deployment of custom Large Language Model (LLM) APIs. It aims to make the process of integrating AI models into various applications quick and easy. The platform focuses on simplifying the technical complexities involved in taking an LLM from development to a production-ready API, enabling developers and businesses to leverage AI capabilities without extensive infrastructure management. By providing a dedicated environment for LLM API deployment, dimBase helps users to efficiently manage and scale their AI models, making them accessible for diverse use cases and applications.

Prompt-Engineering-Guide-zh-CN is an open-source, continuously updated guide to prompt engineering, specifically tailored for Chinese speakers. It serves as a comprehensive resource for understanding and optimizing prompts for large language models (LLMs). The guide covers various aspects of prompt engineering, including introductory concepts, basic and advanced prompting techniques, applications, and specific guidance for ChatGPT. It also compiles relevant papers, lectures, notebooks, and tools, making it an invaluable resource for researchers and developers looking to enhance their understanding and application of LLMs.

SuperPrompt is an open-source project designed to engineer prompts that enhance understanding of AI agents, particularly large language models like Claude. It utilizes a unique approach involving 'holographic metadata' and XML tags to guide the LLM's thought process. The tool aims to encourage models to 'think outside the box' and explore areas usually left untouched, often leading to novel ideas, though sometimes resulting in hallucinations. SuperPrompt is not intended to create conscious AI but rather to force deeper cognitive engagement from the model. It adapts its meta-prompt based on the user's request, allowing for dynamic and context-aware prompt generation, making it a valuable resource for AI research and development.

Firebender is an AI coding assistant specifically designed to integrate with Android Studio, aiming to significantly accelerate the coding process for Android developers. The tool promises to help users write code up to 10 times faster, enhancing productivity and streamlining development workflows. By leveraging artificial intelligence, Firebender provides powerful assistance, making it an essential tool for developers looking to optimize their coding efficiency within the Android Studio environment. It focuses on improving the speed and quality of code generation, allowing developers to concentrate on more complex problem-solving and innovation.

Build-your-ai-coding-assistant is an open-source project and comprehensive guide detailing how to construct a custom AI-assisted coding tool, similar to GitHub Copilot or JetBrains AI Assistant. It provides a step-by-step approach for developers, covering the entire lifecycle from designing IDE plugins and selecting appropriate AI models to building high-quality datasets and fine-tuning models. The guide emphasizes practical application, using examples like DeepSeek Coder and Intellij IDEA, and discusses various AI coding scenarios such as code completion, explanation, generation, and review. It also delves into architectural considerations for balancing model speed and quality, and different contextual engineering approaches to enhance AI assistance.

sentiment-analysis is an open-source project offering multiple approaches to sentiment analysis and text classification, core tasks within Natural Language Processing (NLP). It provides implementations ranging from dictionary-based methods and traditional machine learning algorithms like Bayes, to advanced deep learning models such as TextCNN and BERT. The tool also features a unique approach for handling unknown tokens, including emojis, by learning their semantic vectors during fine-tuning. This makes it a versatile resource for developers and researchers working on NLP tasks, particularly those focused on understanding and categorizing textual sentiment.

AI World Generator transforms natural language prompts into navigable 3D worlds, rendered in real-time at 24 FPS. This platform is designed for creators, researchers, and developers, offering features like persistent world memory and promptable events to build responsive environments. Users can describe terrain, lighting, characters, and goals, with the AI interpreting context from prompts or reference imagery. It supports real-time simulation, allowing immediate navigation and exploration while maintaining physics and continuity. The tool enables iteration through prompt adjustments, event triggers, and export of playable builds or cinematic captures, making it ideal for game prototyping, autonomous agent training, immersive storytelling, and digital twin exploration.

awesome-gpt4o-images is a curated collection of images and prompts generated by OpenAI's GPT-4o and gpt-image-1 models. This repository serves as a comprehensive showcase of advanced AI image generation capabilities, featuring visuals created with ChatGPT and Sora. It offers a rich source of inspiration for AI enthusiasts and creatives, demonstrating the versatility of GPT-4o in generating high-quality images from text prompts, supporting image-to-image editing, and enabling advanced operations like local modifications, style transfers, and multi-image blending. The collection highlights GPT-4o's multimodal understanding, precise output generation, diverse style options, realistic composition, and rapid iterative editing.

zero_nlp is a robust Chinese NLP solution built on PyTorch and Transformers, designed to be an out-of-the-box training framework. It offers a complete solution for training and fine-tuning various models, including large language models, text-to-vector, text generation, and multi-modal models. The platform provides extensive training data from the open-source community, along with templates for processing vertical domain data efficiently, even for hundreds of gigabytes. It supports a full workflow from data cleaning and processing to model building, training, deployment, and visualization. Key features include support for models like GPT2, CLIP, GPT-Neox, Dolly, Llama, ChatGLM-6b, and VisionEncoderDecoderModel, alongside multi-card parallelization for training and inference of large models.

bbdeeplearning.systems is an AI lab that focuses on developing and deploying practical AI solutions. They offer a range of products, including FEYNCHAT, an AI assistant with 68 models, web research, and code execution capabilities, designed for users needing more advanced features than standard chatbots. Another key product is Clauseo, an AI research tool specifically for Indian law, which finds binding precedents and is built for drafting legal documents. Beyond products, bbdeeplearning.systems provides AI consulting services, helping companies fix slow AI features, cut costs by optimizing model usage, build custom AI tools, and train models. They emphasize a code-first approach, delivering tangible results rather than just presentations.

JustCopy.ai is an AI-powered platform designed to help users build, launch, and grow their businesses using AI agents. It enables the creation of web applications, blogs, analytics dashboards, videos, images, and full brand kits, all from a single platform without requiring any coding. Users can describe their desired app or clone an existing website to get a pixel-perfect version with instant deployment. The platform offers features like auto-blogging with SEO optimization, AI-generated business plans, social media management, and custom domain support. It also provides built-in functionalities for payments, databases, authentication, and analytics, making it a comprehensive solution for entrepreneurs and businesses looking to rapidly develop and scale their online presence.

Learn Prompting Pro is an AI detector tool designed to accurately identify content generated by AI models such as ChatGPT and Claude. Utilizing advanced multi-algorithm analysis, the tool boasts over 95% accuracy in detecting AI-generated text. It provides instant results without requiring any user signup, making it a convenient solution for quickly verifying content authenticity. The platform emphasizes its ability to perform sentence-level detection, offering detailed insights into the origin of text. This free utility application is ideal for users needing to distinguish between human-written and AI-generated content efficiently.

VCPToolBox acts as a revolutionary middleware deployed between AI model APIs and frontend applications, fundamentally transforming large language models (LLMs) from stateless entities into complete intelligent agent systems. It achieves this through a unified instruction protocol, multi-level persistent memory, a distributed plugin engine, and a multi-agent collaboration framework. The tool addresses critical limitations of traditional AI systems, such as disconnected frontends and backends, mechanical tool invocation, and lack of persistent memory. VCPToolBox enables AI to operate across distributed systems using natural language, maintain a unified identity across multiple interfaces, possess a continuous sense of time, and utilize a neuron-simulated memory system that mimics human recall processes.