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Pre-training, Data, Fine-tuning & Alignment

Alignment Methods: RLHF, DPO and Constitutional AI

Reward models, preference optimisation, AI feedback and their failure modes.

Advanced 20 min For: Researchers ✎ In progress

✎ This lesson is still being written. Below is the planned outline; it is not indexed by search engines yet.

What this lesson will cover

  1. Reward modelling
  2. PPO-based RLHF
  3. Direct preference optimisation
  4. RLAIF and constitutions
  5. Reward hacking and sycophancy

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Data updated: Learn AI curriculum · Lesson news(UTC+8)