NeMo Core

You can learn more about the underlying principles of the NeMo codebase in this section.

The NeMo Framework codebase is composed of a core section which contains the main building blocks of the framework, and various collections which help you build specialized AI models.

You can learn more about aspects of the NeMo “core” by following the links below:

• NeMo Models
• Neural Modules
• Experiment Manager
• Neural Types
• Exporting NeMo Models
• Adapters
• Core APIs

Alternatively, you can jump straight to the documentation for the individual collections:

• Large Language Models (LLMs)

• Automatic Speech Recognition (ASR)

• Multimodal (MM) Models

• Text-to-Speech (TTS)

• Computer Vision (CV)