The process involves augmenting human-curated data with high-quality examples generated by the language model itself. This hybrid approach reduces the cost and complexity of data creation, while ensuring the model can assimilate new information without forgetting what it previously learned.

For enterprises, InstructLab unlocks the ability to customize language models with their own proprietary data and domain-specific knowledge, without the need to start from scratch. This opens up a world of possibilities for tailoring AI systems to the unique needs of different industries and use cases.