Nemotron-4-340B-Reward
Multi-dimensional reward model helps build customized large-scale language models.
Product Details
Nemotron-4-340B-Reward is a multi-dimensional reward model developed by NVIDIA for use in synthetic data generation pipelines to help researchers and developers build their own large language models (LLMs). The model consists of a Nemotron-4-340B-Base model and a linear layer capable of converting the token at the end of the response into five scalar values, corresponding to the HelpSteer2 attribute. It supports context lengths of up to 4096 tokens and is able to score five attributes per assistant turn.
Main Features
How to Use
Target Users
The target audience is AI researchers and developers, especially those professionals working on building and optimizing large language models. This model can help them improve the performance and alignment of their models through synthetic data generation and reinforcement learning techniques.
Examples
The researchers used the Nemotron-4-340B-Reward model to evaluate and improve language models they built themselves.
Developers use this model to generate training data in dialogue system development to improve the quality of system responses to user queries.
Educational institutions use this model as a teaching tool to help students understand how large language models work and optimize methods.
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