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:

Using the sidebar navigate into “Manage” then select “Model Hub”.
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 AI 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 that can be configured in AI providers that may support other languages. Please reference the linked documentation below for their list of supported languages, and the LILT Custom Models page for more information.

Amazon Translate
Google Translate.
- Language pairs listed in Custom Models offer fine-tuning capabilities.
- Language pairs from the Neural Machine Translation model section will support instant translation but NOT fine-tuning of any kind.
DeepL
OpenAI

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. Fine-tuning allows for improved translation with extra data from segments and terminology. Only LILT Contextual AI models allow for real-time training and adaptation.

LLM	Fine tuning: segments	Fine tuning: terminology	Real-time training
LILT Contextual AI	Yes	Yes	Yes
Amazon Translate	Yes	Yes	No
Google Translate*	Yes	Yes	No
DeepL	No	Yes	No
OpenAI	No	Yes	No

*Only available on US-Central

​Managing Models within LILT

​Setting up a Model

​Retraining an existing Model

​Available Translation LLM Integrations Within LILT

​Video Overview

Managing Models within LILT

Setting up a Model

Retraining an existing Model

Available Translation LLM Integrations Within LILT

Video Overview