Red Hat Blog Synthetic data: A secret ingredient for better language models

It's increasingly clear that the quality of a large language model (LLM) is hugely dependent on the quality of the data used during training. Take DeepSeek for example, an open source frontier model developed for an incredibly low cost, which incorporated synthetic data for training. In addition, for enterprises requiring specialized models for business use cases, real-world data can be challenging to obtain and annotate for model training. That's why today's artificial intelligence (AI) breakthroughs are being powered by synthetic data-a transformative approach to training and refining