Nvidia Releases Nemotron-4 340B for Synthetic Data Generation and Large Language Model Training
Nvidia releases free LLMs that match GPT-4 in some benchmarks 🔗

Nvidia has released Nemotron-4 340B, an open-source pipeline for generating synthetic data and a family of models designed to help developers create high-quality datasets for training and refining large language models (LLMs) for commercial applications. The models outperform some benchmarks, including GPT-4 in certain tests, and are optimized for inference with the Nvidia NeMo framework and TensorRT-LLM library. The release of Nemotron is seen as a strategic move by Nvidia to support the training of more models, potentially increasing demand for GPUs.