LLMOps
LLMOps encompasses operational practices for large language model applications, covering full lifecycle management from prototype to production.
Contents
| Topic | Description |
|---|---|
| LLMOps Overview | LLMOps vs MLOps, LLM application development lifecycle |
| Experiment Management and Version Control | Prompt versioning, experiment tracking, data versioning |
| A/B Testing and Deployment | A/B testing, canary releases, blue-green deployment |
Learning Path
- Overview — Understand core LLMOps concepts and differences from traditional MLOps
- Experiment Management — Master version control methods for prompts and models
- Deployment Strategy — Learn safe deployment and continuous optimization methods
Related Modules
- AI Engineering Overview — AI engineering landscape
- Inference — Model serving
- Evaluation and Monitoring — LLM evaluation methods