# generative-ai **Repository Path**: binema/generative-ai ## Basic Information - **Project Name**: generative-ai - **Description**: 转自Github上面的generative-ai,AI学习路线覆盖提示工程、RAG、智能体、部署和面试技巧! - **Primary Language**: Python - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-07-22 - **Last Updated**: 2025-07-22 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README
     

Your go-to hub for end-to-end GenAI learning. ⭐ Star this repo to stay updated with the latest GenAI tools, guides, and resources :) ### 📘 Quick Reference | Category | Links | |-------------|---------| | GenAI Roadmap | [GitHub](https://github.com/genieincodebottle/generative-ai/blob/main/GenAI_Roadmap.md) | | GenAI Essential Terms | [Pdf](https://github.com/genieincodebottle/generative-ai/blob/main/docs/essential-terms-genai.pdf) | | GenAI Interview Q & A | [Pdf](https://github.com/genieincodebottle/generative-ai/blob/main/docs/genai-interview-questions.pdf) | | Prompt Engineeing | [GitHub](https://github.com/genieincodebottle/generative-ai/blob/main/genai-usecases/prompt-engineering) | | RAG | [Pdf](https://github.com/genieincodebottle/generative-ai/blob/main/genai-usecases/advance-rag/advance-rag-decision-flow-chart.pdf) | | Agentic AI | [GitHub](https://github.com/genieincodebottle/generative-ai/tree/main/genai-usecases/agentic-ai) | | Model Context Protocol (MCP) |[YT- MCP Clearly Explained](https://www.youtube.com/watch?v=7j_NE6Pjv-E)
[YT- MCP Crash Course for Python Developers](https://www.youtube.com/watch?v=5xqFjh56AwM)| | AI Coding Assistants |[Claude Code](https://docs.anthropic.com/en/docs/claude-code/overview), [Gemini CLI](https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/), [Cursor](https://www.cursor.com/), [Bolt](https://bolt.new/), [Lovable](https://lovable.dev/), [Replit](https://replit.com/), [V0](https://v0.dev/) | | AI Automation (Workflow + AI Integration) |[n8n](https://n8n.io/) - [YT](https://www.youtube.com/watch?v=EH5jx5qPabU)
[Zapier](https://zapier.com/)
[Make](https://www.make.com/en)| | GenAI on Cloud | [Azure - Pdf](https://github.com/genieincodebottle/generative-ai/blob/main/docs/genai-with-azure-cloud.pdf)
[AWS - Pdf](https://github.com/genieincodebottle/generative-ai/blob/main/docs/genai-with-aws-cloud.pdf)
[VertexAI - Pdf](https://github.com/genieincodebottle/generative-ai/blob/main/docs/genai-with-vertexai.pdf) | | GenAI in Production | [YT - Explaining Code](https://www.youtube.com/watch?v=x2P4Ee6PYNg), [GitHub - Code](https://github.com/genieincodebottle/rag-app-on-aws) | | Example Code for Running API-Based LLM | [Groq](https://github.com/genieincodebottle/generative-ai/blob/main/genai-usecases/llm-providers/groq.ipynb), [Claude](https://github.com/genieincodebottle/generative-ai/blob/main/genai-usecases/llm-providers/claude.ipynb), [OpenAI](https://github.com/genieincodebottle/generative-ai/blob/main/genai-usecases/llm-providers/openai.ipynb), [Gemini](https://github.com/genieincodebottle/generative-ai/blob/main/genai-usecases/llm-providers/gemini.ipynb), [DeepSeek](https://github.com/genieincodebottle/generative-ai/blob/main/genai-usecases/llm-providers/deepseek.ipynb), [Cohere](https://github.com/genieincodebottle/generative-ai/blob/main/genai-usecases/llm-providers/cohere.ipynb) | | Example Code for Running LLMs Locally | [Huggingace](https://github.com/genieincodebottle/generative-ai/blob/main/genai-usecases/llm-providers/huggingface_models.ipynb), [Ollama Local](https://github.com/genieincodebottle/generative-ai/blob/main/genai-usecases/llm-providers/ollama), [Ollama at Colab](https://colab.research.google.com/drive/1TrB6dLCSBdSDXcauQ1lofgWDiiEbQXHw?usp=sharing), [LMStudio](https://lmstudio.ai/) | | Misc | [Embedding Models](https://github.com/genieincodebottle/generative-ai/blob/main/genai-usecases/embedding-models/how-to-choose-embedding-models.ipynb)
[GenAI Project Lifecycle](https://github.com/genieincodebottle/generative-ai/blob/main/docs/genai-project-lifecycle.pdf) |
### 🤝 Contributing Contributions to add good impactful resources/codes to the list are welcome! Here’s how you can help: 1. **Fork the Repository** Click on the "Fork" button at the top right corner of the page to create a personal copy of the repository. 2. **Clone the Repository** Clone your forked repository to your local machine: ```bash git clone https://github.com/genieincodebottle/generative-ai.git ``` 3. **Create a New Branch** Create a new branch for your feature or bug fix: ```bash git checkout -b your-branch-name ``` 4. **Make Your Changes** Make your changes and commit them with a clear message: ```bash git commit -m "Brief description of your changes" ``` 5. **Push Your Changes** Push your changes to your forked repository: ```bash git push origin your-branch-name ``` 5. **Create a Pull Request** Go to the original repository and create a pull request. Make sure to explain your changes and why they should be merged.