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Road to Intelligence

A graduate-study baseline

Am I ready to read AI papers?

Thirteen things a first-year AI graduate student is expected to understand. Each one is judged from the concepts you have marked understood (stored only in this browser), and every gap links straight to the page that closes it. You do not need to memorise everything; you need these.

Ready

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of the items this site can teach so far

Your next step

Start with gradient descent: Derivatives and Gradients, Gradient Descent, Momentum and Adam.

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  11. I understand RAG.

    Taught fully in Chapter 12: Embeddings, RAG & the LLM Application Stack (not written yet).

    Not written yet
  12. I understand basic agent architecture.

    Taught fully in Chapter 13: Agents (not written yet).

    Not written yet
  13. I know how to read experiments and ablations.

    Taught fully in Epilogue: Reading Research (not written yet).

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Mark concepts on their pages or in each chapter’s concept list. See everything you have marked on your progress page.