https://github.com/srgrace/generative-ai-compass
A comprehensive guide to navigating the world of generative artificial intelligence!
https://github.com/srgrace/generative-ai-compass
ai cv data-science deep-learning genai llms machine-learning nlp vlms
Last synced: 5 months ago
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A comprehensive guide to navigating the world of generative artificial intelligence!
- Host: GitHub
- URL: https://github.com/srgrace/generative-ai-compass
- Owner: SrGrace
- License: mit
- Created: 2024-09-14T04:57:34.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-11-03T08:28:02.000Z (8 months ago)
- Last Synced: 2025-11-03T10:16:31.707Z (8 months ago)
- Topics: ai, cv, data-science, deep-learning, genai, llms, machine-learning, nlp, vlms
- Homepage: https://www.linkedin.com/in/srgrace
- Size: 28 MB
- Stars: 16
- Watchers: 2
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🧭 Generative AI Compass
Your comprehensive guide to navigating the world of generative artificial intelligence.
[](https://github.com/ellerbrock/open-source-badges/)
[](https://opensource.org/licenses/mit-license.php)
[](https://www.linkedin.com/in/srgrace)
## 📚 Description
The Generative AI Compass is a curated repository of resources, tutorials, and best practices for understanding and working with generative AI technologies. Whether you're a beginner taking your first steps into the world of AI or an experienced practitioner looking to stay updated with the latest advancements, this repository serves as your reliable guide.
## 📋 What's Inside
- 📚 Foundational concepts and theories behind Generative AI ([Click here](https://github.com/SrGrace/generative-ai-compass/tree/main/concepts_and_theories))
- 💻 Interview Preps ([Click here](https://github.com/SrGrace/generative-ai-compass/tree/main/concepts_and_theories/interview_prep))
- ⏳ AI Interview Scenarios ([Click here](https://github.com/SrGrace/generative-ai-compass/tree/main/interviews_scenarios))
- 🛠️ Practical tutorials and hands-on examples ([Click here](https://github.com/SrGrace/generative-ai-compass/tree/main/practical_tutorials))
- 🎓 Courses ([Click here](https://github.com/SrGrace/generative-ai-compass/tree/main/practical_tutorials/Courses))
- 🗺️ Roadmaps for different generative AI specializations ([Click here](https://github.com/SrGrace/generative-ai-compass/tree/main/gen-ai-roadmap))
- 📊 Comparisons of popular generative AI models, techniques and frameworks ([Click here](https://github.com/SrGrace/generative-ai-compass/tree/main/comparative_studies))
- 🚀 Best practices for implementing generative AI in real-world projects([Click here](https://github.com/SrGrace/generative-ai-compass/tree/main/best_practices))
- 🔮 Exploration of cutting-edge research and future trends ([Click here](https://github.com/SrGrace/generative-ai-compass/tree/main/research_and_future_trends))
- 🤝 Community-contributed resources and case studies ([Click here](https://github.com/SrGrace/generative-ai-compass/tree/main/community_contributed_resources))
## 👥 Who Is This For
- 🎓 Students and educators in AI and machine learning
- 💼 Professionals looking to integrate generative AI into their work
- 🔬 Researchers exploring the frontiers of AI capabilities
- 🌱 Enthusiasts curious about the potential of generative AI
## ✏️ Contributing
If you want to add to the repository or find any issues, please feel free to raise a PR and ensure correct placement within the relevant section or category.
## 📌 Citing
To cite this guide, use the below format:
```
@article{srgrace_generative_ai_compass,
title = {Generative AI Compass},
author = {Verma, Sourav},
journal = {https://github.com/SrGrace/generative-ai-compass},
month = {09},
year = {2024}
}
```