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A comprehensive collection of practical examples, tutorials and recipes showcasing how to build powerful LLM-powered applications using various frameworks and tools.
From simple chatbots and MCP examples to advance AI Agents, this repository serves as your guide to building some cool AI applications.
- Meta-Llama-3.1-8B-Instruct
- Meta-Llama-3.1-70B-Instruct
- Llama-3.3-70B-Instruct
- Llama-3.1-Nemotron-Ultra-253B
- Qwen/Qwen3-30B-A3B
- Python 3.10 or higher
- Git
- pip (Python package manager)
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Clone the repository
git clone https://github.com/Arindam200/awesome-ai-apps.git
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Navigate to the desired project directory
cd awesome-ai-apps/starter_ai_agents/agno_starter
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Install the required dependencies
pip install -r requirements.txt
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Follow project-specific instructions
- Each project has its own README.md with detailed setup and usage instructions
- Make sure to read the project-specific documentation before running the application
We welcome contributions from the community! Whether you're a beginner or an expert, your examples and tutorials can help others learn and grow. Here's how you can contribute:
- Submit a Pull Request with your LLM application example
- Add detailed documentation and setup instructions
- Include requirements.txt or environment.yml
- Share your experience and best practices
This repository is licensed under the MIT License. Feel free to use and modify the examples for your projects.