Achieve reliable LLM performance with continuous evaluation, prompt engineering, and assistance curating training datasets. With our AI, cultural, and linguistic expertise, you’ll consistently get AI-generated content that connects with diverse global audiences and falls within sensitivity guidelines.

Data annotation, collection, and creation: Using the right training data is crucial to ensuring your LLM understands prompts and responds with the output users seek. Get assistance choosing impactful, high-quality, multilingual data sets to train your LLM. We’ll help you pull from a comprehensive variety of text, images, audio, and video.

Prompt Engineering: Develop and alter prompts to improve LLM’s translation and localization performance. We assist with prompt creation, translation, and transcreation.  Lionbridge LLM Training Services verify that every prompt is built with natural language mimicking typical AI tool users.  

Response Evaluation: Our experienced crowd helps evaluate output and prompts, verifying that your LLM will consistently deliver desired output more efficiently. This evaluation also reduces risk of both inaccurate responses and introducing bias from user feedback, source material, users, etc.

Achieve faster and more cost-effective translation by leveraging LLMs during post-editing.

For fully automated post-editing, we run source content through your Translation Memory and then Machine Translation. Next, a customized LLM decides what output needs enhancement and makes appropriate edits. For assisted posted editing, there’s an extra step whereby a professional human linguist reviews the LLM’s work and makes any required corrections.

Automated post-editing via an LLM will be of better quality than unsupervised Machine Translation. It is appropriate for moderate translation quality. LLM-assisted post-editing that includes a human in the loop ensures superior quality while maintaining a fast turnaround time as the LLM significantly reduces the editor’s workload.