About — Awesome Generative AI Guide

What is awesome-generative-ai-guide?

Generative AI is experiencing rapid growth, and this repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. Created and maintained by Aishwarya Naresh Reganti, this guide is updated regularly with the latest additions in the GenAI space.

What You'll Find Here

Monthly Best GenAI Papers List — Curated paper lists from 2024 through 2025
GenAI Interview Resources — 60 common interview questions with detailed answers
Original Courses — Applied LLMs Mastery, Agentic AI Crash Course, AI Evals, OpenClaw Mastery, and more
90+ Free GenAI Courses — Curated from top universities, companies, and platforms
Practical Roadmaps — 3-day RAG, 5-day LLM foundations, 5-day AI agents
In-Depth Guides — Agents 101, fine-tuning 101, multimodal LLMs, and more
Code Notebooks — Links to hands-on repositories for building GenAI applications
Research Tables — Comprehensive categorized summaries of RAG, agentic search, and evaluation research

How to Cite

If you find this guide useful in your work, please cite it using the following format:

@article{areganti_generative_ai_guide,
  author = {Reganti, Aishwarya Naresh},
  journal = {https://github.com/aishwaryanr/awesome-generative-ai-resources},
  month = {01},
  title = {{Generative AI Guide}},
  year = {2024}
}

Contributing

Contributions are welcome! If you'd like to add to the repository or find any issues, feel free to raise a PR on the GitHub repository. Please ensure correct placement within the relevant section or category.

License

This project is licensed under the MIT License.