Direct Preference Optimization Loss

Medium · Solved in PyTorch · Machine learning coding practice

Problem

Implement the DPO (Direct Preference Optimization) loss function (Rafailov et al., 2023), a simpler alternative to RLHF that directly optimizes language models from preference data without requiring a separate reward model.

Topics: rlhf, preference-learning, loss-functions

The full statement, worked examples, hints and the test suite are available once you sign in. You can then solve Direct Preference Optimization Loss in the browser and run it against the tests.

Related problems

• DAPO: Clip-Higher Policy Optimization Loss Medium
• Group Relative Policy Optimization Loss Medium
• Knowledge Distillation Loss Medium
• NT-Xent Contrastive Loss Medium
• Triplet Margin Loss Easy
• Optimizers: From Momentum to Adam Medium