Webinar

MLOps Live #36 - How to Manage Thousands of Real-Time Models in Production - March 25th

MLOps Glossary

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Model Tuning LLM Optimization Enterprise Data Science AI Infrastructure

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a

AI Infrastructure

AI Tokenization

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

ML Pipeline Tools

MLOps Governance

Model Accuracy in Machine Learning

Model Deployment

Model Evaluation

Model Management

Model Monitoring

Model Retraining

Model Serving Pipeline

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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