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!
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.
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.
- 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.
Feel free to reach out for collaboration or queries:
- Email: here
- LinKedin: shaheennabi
Thank you for tuning in, and happy experimenting! 🌐✨