LILT Custom Models

Managing Models within LILT

Within the Model Hub you can create and update Models from LILT and third party translation providers.

Setting up a Model

To get started, navigate to the Manage tab. Inside the Model Hub tab you'll see a list of models

To create a new model:

1. Using the sidebar navigate into “Manage” then select “Model Hub”.

2. Once on the Models page, select “+ New Model”.

   1. Create a name for your model, note this name will carry over onto the third party system as well.

   2. Enter source and target languages

      1. Note the third party model has to support this language pair.

   3. Select a reference Data Source. Memory and Termbase entries from this Data Source will be sent to your 3rd-party LLM provider to fine-tune your Model.

   4. Select from enabled LLM providers.

   5. Click Create.

Retraining an existing Model

LILT stores your linguistic assets in Data Sources, and adds entries with each sentence translated during Verified Translation projects. If at any time, you want to use that data to retrain and customize your 3rd-party models, simply navigate to the models page and select “Retrain”. This action will prompt you with a confirmation modal showing the LLM and time since last training. If you wish to update the model with the new entries from your Data Source, confirm by clicking “Retrain”.

✔️ Please note that LILT Contextual AI models are continuously trained in real time, so there is no need to retrain manually through this process!

Available Translation LLM Integrations Within LILT

Alternate LLMs:

• LILT Contextual AI

• Amazon Translate

• Google Translate

• DeepL

LILT, Amazon, and Google all offer fine tuning of their LLMs with parallel data. As your Data Sources within LILT grow, you can easily retrain your Models from these LLMs through LILT’s Model Builder interface on the Models page.

*Only available on US-Central

Video Overview