Supplemental practical concepts · MLD-0029
Adaptive optimizer
An optimizer that adjusts update scaling using parameter-specific or historical gradient information.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Use Adam instead of a single global gradient scaling.
Original caveat
Adaptivity does not remove the need for tuning and evaluation.
Context and aliases
Level: Intermediate. Stages: Training · Inference · Evaluation.
Tags: ML · DL · LLM · SLM.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- Deep Learning: online textbook ↗ · Consulted
- Transformers glossary ↗ · Consulted
- OpenAI Spinning Up: reinforcement learning ↗ · Consulted
- PyTorch documentation ↗ · Reference link
- Original reference URL ↗