# 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.