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Nemotron-4-340B
Nemotron-4 340B, a family of models optimized for NVIDIA NeMo and NVIDIA TensorRT-LLM, includes cutting-edge instruct and reward models, and a dataset for generative AI training.
High-quality training data plays a critical role in the performance, accuracy and quality of responses from a custom LLM — but robust datasets can be prohibitively expensive and difficult to access. An evaluator model, (2) Nemotron-4 340B Reward, then assesses this generated text — providing feedback that guides iterative improvements and ensures the synthetic data is accurate, relevant and aligned with specific requirements. Alignment is a key step in training LLMs, where a model’s behavior is fine-tuned using algorithms like reinforcement learning from human feedback (RLHF) to ensure its outputs are safe, accurate, contextually appropriate and consistent with its intended goals.
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