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:
You can learn more about aspects of the NeMo APIs by following the links below:
- NeMo Core APIs
- NeMo Common Collection API
- NeMo Large language Model API
- NeMo Multimodal API
- NeMo ASR API
- NeMo TTS API
Alternatively, you can jump straight to the documentation for the individual collections:
Large Language Models (LLMs)
Automatic Speech Recognition (ASR)
Multimodal Models (MMs)
Text-to-Speech (TTS)
Computer Vision (CV)