[SPONSORED WEBINAR] Context is Everything: Maximizing Large Language Models in Machine Translation through Contextual Enrichment
Machine translation has been proved to reduce the costs and delivery times in various translation scenarios. Despite achieving impressive quality, machine translation still can not compete with human translation, especially when the availability of context is limited. The rise of Large Language Models makes it possible to leverage context information in linguistic tasks. With that in mind we developed the XTM AI Smart Context feature which utilizes translation memory matches and carefully-designed prompts in LLM-powered machine translation. Evaluation results show that this approach is very promising.
The session will compare the metrics scores achieved by different GPT models against state-of-art machine translation engine.
Takeaways for the audience
- When prompted with context, LLMs offer unprecedented machine translation quality
- LLMs can truly help in production scenarios.
- Linguistic data management is key - a TMS with AI capabilities is the tool of the future.
This sponsored webinar is free for members and nonmembers.
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An AI Engineer at XTM with over two years of professional experience, Szymon Kaczmarek specializes in natural language processing and artificial intelligence. Holding a master’s degree in computer science from Poznan University of Technology, he brings over five years of dedicated interest in AI.
Szymon is committed to advancing AI's application in linguistics and other fields, sharing research insights at conferences to contribute to the growth and responsible use of AI technology.