NeuralBlitz LLMops
LLMOps is the practice of managing, deploying, and monitoring large language models in production. It encompasses the entire lifecycle from data prep to model serving.
Key Concepts
- Model versioning
- Prompt management
- A/B testing for prompts
- Inference optimization
- Cost management
Common Use Cases
- LLM API management
- Prompt engineering at scale
- Model fine-tuning pipelines
- Evaluation frameworks
- Production monitoring
Best Practices
- Version prompts and configs
- Implement observability
- Use proper caching
- Set up rate limiting
- Monitor latency/cost
Resources
- MLflow, LangSmith, Weights & Biases
- Related Skills: mlops, langchain, monitoring