Concepts#
Learn about the core components and concepts introduced by the NeMo microservices. The following concepts are organized by each stage in the AI model development workflow.
Platform
Start here to learn about the general concepts of the NeMo microservices.
Entities
Learn about the core entities you can manage in your AI workflows.
Customization
Learn about the concepts for customizing base large language models (LLMs).
Evaluation
Learn about the concepts for evaluating LLMs.
Inference
Learn about the concepts for running inference on LLMs deployed as NIM.
Guardrails
Learn about the concepts for controlling the output of LLMs.
Data Designer
Learn about the concepts for designing synthetic data from scratch or seeds for AI training and testing.
Safe Synthesizer
Learn about generating private, synthetic versions of sensitive tabular datasets.