Synthetic data has become a standard part of large language model (LLM) post-training procedures. Using a large number of synthetically generated examples from…
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…
