Deployment and MLOps · MLD-1235
TinyML
Machine learning designed for highly resource-constrained devices such as microcontrollers.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Detect a wake word on a low-power sensor.
Original caveat
TinyML is a deployment domain, not a precise parameter-count category.
Context and aliases
Level: Intermediate. Stages: Deployment · Monitoring.
Tags: ML · DL · LLM · SLM · MLOps.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- Transformers glossary ↗ · Consulted
- Google Cloud MLOps architecture ↗ · Reference link
- scikit-learn User Guide ↗ · Consulted
- Original reference URL ↗