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🔬Deep Dive
Math Foundations
Neural Networks
Transformer Architecture
Scaling
LLM Pre-training
Alignment Techniques
Reasoning Internals
Interpretability
Model Architectures
Hardware & Compute
Fine-tuning & Adaptation
Research Skills
AI Economics & Impact
🔬Deep Dive
Math Foundations
Neural Networks
Transformer Architecture
Scaling
LLM Pre-training
Alignment Techniques
Reasoning Internals
Interpretability
Model Architectures
Hardware & Compute
Fine-tuning & Adaptation
Research Skills
AI Economics & Impact
Deep DiveResearch Skills

Research Skills

How to navigate AI research — reading papers critically, understanding where research is published, and replicating and benchmarking results.

In This Section

How to Read an AI Paper

The three-pass method, what to prioritize, and red flags in ML papers.

Key Research Venues

NeurIPS, ICML, ICLR, NLP venues, arXiv norms, and workshop culture.

Replication & Benchmarking Practice

The replication crisis, MMLU, SWE-bench, Chatbot Arena, and how to run your own benchmark.

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