Glossario
MLOps & AI Glossary
- Advanced Routing
- Agentic AI
- AI Agent
- AI Infrastructure
- AI Monitoring
- AI Observability
- AIOps
- AUC ROC
- Baseline Model
- Bias–Variance Tradeoff
- Binary Classification
- Canary Deployment
- Classification
- Clustering
- Concept Drift
- Confusion Matrix
- Data Binning
- Data Drift
- Data Ingestion
- Data Integrity
- Deep Learning
- Drift Detection
- Embedding
- Euclidean Distance
- Explainability
- Feature
- Feature store
- Feedback
- Ground Truth
- Guardrails
- Hallucination
- Hyperparameter
- Hyperparameter Tuning
- Intersection over Union (IoU)
- Kolmogorov-Smirnov Test
- Least Squares Method
- LIME
- LLM-as-a-Judge
- LLM Governance
- LLMs Fine-Tuning
- Loss Function
- Mean Absolute Error (MAE)
- Mean Squared Error (MSE)
- Mixture of Experts
- MLOps
- Model Context Protocol (MCP)
- Model Serving
- Multimodal AI
- Natural Language Processing (NLP)
- Object Detection
- PII Redaction - Masking
- Population Stability Index (PSI)
- Precision
- Prompt Engineering
- Ranking Model
- Real Time Machine Learning
- Recall
- Recommender System
- Regression
- Retrieval Augmented Generation (RAG)
- Root Mean Squared Error (RMSE)
- Semantic Caching
- Semantic Routing
- SHAP
- Supervised Learning
- Time to First Token (TTFT)
- Unsupervised Learning
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