Nemotron-4 340B
An open source synthetic data generation pipeline for training large language models.
Product Details
Nemotron-4 340B is a series of open models released by NVIDIA designed for generating synthetic data to train large language models (LLMs). These models are optimized for use with NVIDIA NeMo and NVIDIA TensorRT-LLM to increase the efficiency of training and inference. Nemotron-4 340B includes base, instruction, and reward models, forming a pipeline that generates synthetic data for training and refining LLMs. The models are available for download on Hugging Face and will soon be available on ai.nvidia.com as part of the NVIDIA NIM microservices.
Main Features
How to Use
Target Users
The Nemotron-4 340B model is suitable for developers and researchers who need to train large language models, especially when access to large, diverse labeled datasets is limited. It provides commercial applications with a free, scalable way to generate synthetic data, helping to build powerful LLMs.
Examples
In the healthcare industry, synthetic data generated by the Nemotron-4 340B is used to train customized LLMs to improve the accuracy and response quality of medical consultations.
The financial industry uses the data generated by Nemotron-4 340B to train risk assessment models and enhance its ability to predict market dynamics.
The retail industry uses the data generated by the Nemotron-4 340B model to optimize the conversational capabilities of customer service robots and improve customer experience.
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