Efficient Training for Big Models.
Generative AI framework built for researchers and PyTorch developers working on Large Language Models (LLMs), Multimodal Models (MMs), Automatic Speech Recognition (ASR), Text to Speech (TTS), and Computer Vision (CV) domains.
A Native-PyTorch Library for LLM Fine-tuning.
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
DeepSpeed version of NVIDIA's Megatron-LM that adds additional support for several features such as MoE model training, Curriculum Learning, 3D Parallelism, and others.
A library for accelerating Transformer model training on NVIDIA GPUs.
Ongoing research training transformer models at scale.
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Generative AI framework built for researchers and PyTorch developers working on Large Language Models (LLMs), Multimodal Models (MMs), Automatic Speech Recognition (ASR), Text to Speech (TTS), and Computer Vision (CV) domains.