https://github.com/shaheennabi/generative-ai-practices-and-mini-projects

🎇🎆 Generative AI Projects 🎆🎇 A hands-on repository for Generative AI projects! 🤖✨ Explore model building, fine-tuning, and RAG techniques. Includes experiments with open-source models like LLaMA and Gemma, plus deployments using OpenAI and Google Gemini APIs. 🚀
https://github.com/shaheennabi/generative-ai-practices-and-mini-projects

aws finetuning gcp gemini genai groq langchain llama-index llama2 llms nim nvidia ollama rag

Last synced: 11 days ago
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🎇🎆 Generative AI Projects 🎆🎇 A hands-on repository for Generative AI projects! 🤖✨ Explore model building, fine-tuning, and RAG techniques. Includes experiments with open-source models like LLaMA and Gemma, plus deployments using OpenAI and Google Gemini APIs. 🚀

• Host: GitHub
• URL: https://github.com/shaheennabi/generative-ai-practices-and-mini-projects
• Owner: shaheennabi
• License: mit
• Created: 2024-10-14T16:45:32.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2025-01-20T07:31:22.000Z (11 days ago)
• Last Synced: 2025-01-20T08:28:54.359Z (11 days ago)
• Topics: aws, finetuning, gcp, gemini, genai, groq, langchain, llama-index, llama2, llms, nim, nvidia, ollama, rag
• Language: Jupyter Notebook
• Homepage:
• Size: 17.6 MB
• Stars: 6
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Generative AI Experiments & Mini-Projects.

### Discussions box is open, you can ask anything & i will accept any pull request feel free to contribute (you can later use these projects in your resume etc)...

Welcome to my Generative AI repository! 🌟 Here, I explore and experiment with a range of concepts and techniques in Generative AI. I’ll be building mini-projects, fine-tuning models, creating Retrieval-Augmented Generation (RAG) applications, working with agents, and implementing various generative AI concepts from scratch..

Please consider starring ⭐ this repository if you're interested in GenAI and want to stay updated on my journey through the field!

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## 🔍 About This Repository

This repository is dedicated to:

- **Experimentation and Learning**: Hands-on experiments with GenAI techniques, from fundamental concepts to advanced implementations.

- **Model Fine-Tuning**: Exploring and fine-tuning various models for different tasks and use cases.

- **Prompt Engineering**: Investigating prompting strategies to enhance model outputs across multiple tasks.

- **RAG Applications**: Building end-to-end Retrieval-Augmented Generation apps that combine information retrieval and generative models.

- **Agent Development**: Crafting and testing agents that can automate complex tasks with LLMs.

- **LLMOps Integration**: Integrating MLOps principles for large language models to ensure scalable and robust deployment.

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## 🚀 Upcoming Projects

Stay tuned for:

- **End-to-End Mini-Projects**: A series of practical projects covering various GenAI applications, each with a detailed README to guide you through the code and concepts.

- **Latest Research Implementations**: Code implementations and experiments inspired by recent research papers in Generative AI.

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## ✨ How You Can Contribute

1. **Star the Repository** 🌟: If you find this repository helpful or interesting.

2. **Raise Issues**: If you encounter any issues or have suggestions for new experiments.

3. **Fork & Pull Requests**: Feel free to contribute by adding new experiments, improving existing code, or adding new GenAI concepts.

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Thank you for tuning in, and happy experimenting! 🌐✨