Generative AI Experiments & Mini-Projects
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!
? 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.
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.
How You Can Contribute
- Star the Repository ?: If you find this repository helpful or interesting.
- Raise Issues: If you encounter any issues or have suggestions for new experiments.
- Fork & Pull Requests: Feel free to contribute by adding new experiments, improving existing code, or adding new GenAI concepts.
? Contact
Feel free to reach out for collaboration or queries:
- Email: here
- LinKedin: shaheennabi
Thank you for tuning in, and happy experimenting!
