ML Interview Hub

A curated collection of ** real-world AI/ML interview questions** with detailed answers, covering LLMs, Neural Networks, Computer Vision, RAG, and more.

🔗 View Live Site →

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📚 Topics Covered

Category	Topics
LLM	Training, Inference, Quantization, Attention, Finetuning, LORA, MOE
Neural Network	Optimizers, Dropout, Softmax, Weight Initialization
Computer Vision	CNNs, Object Detection, Segmentation, NMS
RAG	Retrieval, Vector DBs, Hallucination Debugging
Agents	Memory, Tool Use, Termination
Traditional ML	Feature Engineering, Class Imbalance, Loss Functions
System Design	Scaling, Retraining, Recommendation Systems
VLMs	CLIP, Vision Tokens, Multimodal Training

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✍️ Adding New Articles

1. Create a .md file in the appropriate category folder:

   echo "# Your Question Title\n\nYour answer..." > "LLM/Training/Your-Topic.md"

2. Push to GitHub — the catalog updates automatically!

3. For new categories, just create a new folder with .md files.

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🛠️ Local Development

cd website
bundle install
python ../scripts/generate_catalog.py
bundle exec jekyll serve

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📝 Article Format

# Question Title

Brief introduction or context.

## Key Concept

Explanation with examples...

### Code Example
\`\`\`python
def example():
    return "Hello ML!"
\`\`\`

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Feel free to use for learning and interview prep!

⭐ Star this repo if it helps with your ML interviews!