Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:category |
gptkb:machine_learning
deep learning AI framework |
| gptkbp:developedBy |
gptkb:NVIDIA
|
| gptkbp:documentation |
https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/
|
| gptkbp:enables |
training large language models
inference on NVIDIA GPUs scalable distributed training |
| gptkbp:firstReleased |
2019
|
| gptkbp:focusesOn |
natural language processing
text-to-speech language modeling automatic speech recognition conversational AI |
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA NeMo Toolkit
|
| gptkbp:integratesWith |
gptkb:NVIDIA_GPU
gptkb:NVIDIA_Triton_Inference_Server gptkb:PyTorch |
| gptkbp:latestReleaseVersion |
2024-05-30
NeMo 1.22.0 |
| gptkbp:license |
gptkb:Apache_License_2.0
|
| gptkbp:platform |
gptkb:Windows
gptkb:macOS gptkb:Linux |
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:provides |
model evaluation
model training pretrained models data processing pipelines model fine-tuning |
| gptkbp:relatedTo |
gptkb:NVIDIA_Riva
gptkb:NVIDIA_Megatron NVIDIA Triton |
| gptkbp:repository |
https://github.com/NVIDIA/NeMo
|
| gptkbp:supports |
gptkb:BERT
gptkb:GPT transformer models NLP models ASR models TTS models conformer models |
| gptkbp:usedFor |
speech recognition
speech synthesis large language models language understanding multilingual models |
| gptkbp:website |
https://developer.nvidia.com/nemo
|
| gptkbp:bfsParent |
gptkb:NeMo_Megatron
|
| gptkbp:bfsLayer |
7
|