MLOps Glossary

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Model Tuning LLM Optimization Enterprise Data Science AI Infrastructure

All Terms

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a

AI Infrastructure

AI Tokenization

Arithmetic Intensity

Auto-Regressive Models

Automated Machine Learning

b

Baseline Models

c

Chain-of-Thought Prompting

CI/CD for Machine Learning

Classification Threshold

Continuous Validation

Cross-Validation

d

Data Pipeline Automation

Deep Learning Pipelines

Diffusion Models

Drift Monitoring

e

Enterprise Data Science

Excessive Agency

f

False Positive Rate

Feature Engineering

Fine-Tuning LLMs

Foundation Models

g

Generative Agents

GPU for Machine Learning

h

Holdout Dataset

Human in the Loop

i

Image Processing Framework

k

Kubeflow Pipelines

Kubernetes for MLOps

l

Large Language Models

LLM Customization

LLM Hallucinations

LLM Optimization

LLM Orchestration

LLM Temperature

m

Machine Learning Infrastructure

Machine Learning Lifecycle

Mixture of Experts

ML Pipeline Tools

MLOps Governance

Model Accuracy in Machine Learning

Model Deployment

Model Evaluation

Model Management

Model Monitoring

Model Retraining

Model Serving Pipeline

n

o

On-Premise AI Platform

Open Source Model

Operationalizing ML

p

Prompt Engineering

Prompt Management

r

Reasoning Engine

Risk Management

t

Transfer Learning

True Positive Rate

u

Unsupervised Machine Learning