- Baseline language models: The baseline model is shared across all customers. Each language pair has its own baseline model. LILT typically improves baseline models once a year using general-purpose data. Baseline models do not adapt based on new data.
- Contextual AI models: For every Data Source, LILT creates a paired fine-tuned model on top of the baseline language model. This is specific to the Data Source, content context, and real-time adaptation through the human feedback cycle during translation in LILT, creating a specialized ability to generate on-brand, in-context translations.
Contextual AI is Interactive
Interactivity refers to the process of integrating AI suggestions into the translation workflow. When translating in LILT, the Contextual AI intelligently suggests translations of the source segment that can be used during human translation.