"NVIDIA Releases Open Synthetic Data Generation Pipeline For Training Large Language Models; 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...
"NVIDIA Releases Open Synthetic Data Generation Pipeline For Training Large Language Models; 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...
英偉達發佈了開放式合成數據生成管道，用於訓練大型語言模型;Nemotron-4 340B是一組優化了NVIDIA NeMo和NVIDIA TensorRT-LLM的模型家族，其中包括先進的教學和獎勵模型，以及一個數據集，用於...
"NVIDIA Releases Open Synthetic Data Generation Pipeline For Training Large Language Models; 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"
NVIDIA發佈用於訓練大型語言模型的開放式合成數據生成管道；Nemotron-4 340B是一系列針對NVIDIA NeMo和NVIDIA TensorRT-LLM進行優化的模型，包括先進的指導和獎勵模型，以及用於生成人工智能訓練數據的數據集。
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NVIDIA today announced Nemotron-4 340B, a family of open models that developers can use to generate synthetic data for training large language models (LLMs) for commercial applications across healthcare, finance, manufacturing, retail and every other industry.
NVIDIA今天宣佈推出Nemotron-4 340B，這是一系列開放式模型，開發人員可以使用它們來生成合成數據，用於訓練大型語言模型（LLMs），以應用於醫療保健、金融、製造業、零售業和所有其他行業的商業應用。
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...
高質量的訓練數據對於自定義LLM的性能、準確性和響...
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