A graduate-study baseline
Am I ready to read AI papers?
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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.
I understand gradient descent.
Gap0/3I understand backpropagation.
Gap0/3I understand embeddings.
Gap0/4I understand probability in language modeling.
Gap0/4I understand cross-entropy.
Gap0/3I understand attention.
Gap0/4I understand the Transformer architecture.
Gap0/6I understand pretraining.
Gap0/3I understand fine-tuning.
Gap0/2I understand evaluation.
Gap0/4I understand RAG.
Taught fully in Chapter 12: Embeddings, RAG & the LLM Application Stack (not written yet).
Not written yetI understand basic agent architecture.
Taught fully in Chapter 13: Agents (not written yet).
Not written yetI know how to read experiments and ablations.
Taught fully in Epilogue: Reading Research (not written yet).
Gap0/1
Mark concepts on their pages or in each chapter’s concept list. See everything you have marked on your progress page.