Build Custom Reasoning Models with Advanced, Open Post-Training Datasets

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How the Llama-Nemotron 30M Post Training Dataset was created

Synthetic data has become a standard part of large language model (LLM) post-training procedures. Using a large number of synthetically generated examples from…How the Llama-Nemotron 30M Post Training Dataset was created

Synthetic data has become a standard part of large language model (LLM) post-training procedures. Using a large number of synthetically generated examples from either a single or cohort of open-source, commercially permissible LLMs, a base LLM is finetuned either with supervised finetuning or RLHF to gain instruction-following and reasoning skills. This process can be seen as a knowledge…

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Source:: NVIDIA