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GGenerative AI
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    • Start here
    • Learning paths5 paths
    • Modules11 modules
    • Projects5 projects
    • Quizzes
    • Flashcards
    • Homework
    • Interview prep8 question banks
    • Cheat sheets11 sheets
    • Glossary239 terms
    • Code snippets
    • Ask the mentor
    • My notes
    • My progress
  1. Reference
  2. Reward model

Glossary

Reward model

A model that scores outputs by how well they match preferences. It is used in RLHF and to pick the best of several answers.

Where it is explained

  • Fine-tuning methods: SFT, LoRA, QLoRA and DPOEvaluation and model adaptation

See also

Terms explained in the same lessons.

  • Distillation
  • DPO
  • LoRA
  • Preference tuning
  • Pretraining
  • QLoRA
Previous termRetrieval-augmented generation (RAG)Next termRLHF

All terms, A to Z

GGenerative AI

Learn generative AI from the first token to production systems.

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