NVIDIA Nemotron-4 340B Open LLMs
Nemotron-4 340B, an open model family from NVIDIA, lets developers create synthetic data for big language models
The Nemotron-4 340B family's base, instruct, and reward models generate synthetic data to train and develop LLMs
The models work with NVIDIA NeMo, an open-source platform for data curation, customisation, and evaluation during model training
Synthetic data pipelines can teach academics and developers to create LLMs using the big language model. Nemotron-4-340B-Instruct
Developers may improve teach and reward models' synthetic data and score responses with open-source NVIDIA NeMo and TensorRT-LLM
Tensor parallelism distributes weight matrices among GPUs and servers to optimise all Nemotron-4 340B models in TensorRT-LLM
Nemotron-4 340B NeMo lets Base, trained on 9 trillion tokens, be customised for specific use applications
Low-rank adaptation (LoRA) and supervised fine-tuning are among the NeMo framework's customisation options
Businesses can use the cloud-native NVIDIA AI Enterprise software platform to execute NeMo and TensorRT-LLM quickly and efficiently
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