A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Ongoing research training transformer models at scale
CI/CD templates for NeMo-FW libraries
A library for exporting models including NeMo and Hugging Face to optimized inference backends, and deploying them for efficient querying
Fine-tune any Hugging Face LLM or VLM on day-0 using PyTorch-native features for GPU-accelerated distributed training with superior performance and memory efficiency.
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