Machine Translation (MT) has come a long way since its early days and has seen major improvements over the years with the introduction of statistical models and neural networks, but the most significant breakthrough yet is without a doubt the rise of generative AI (GenAI) and large language models (LLMs).
LLM-based technologies such as GPT models, Google’s Gemini and Meta’s Llama 2 are being integrated into our day-to-day business life, but how do we apply them in the translation process? Can they help us to translate the increasing volumes of content into multiple languages while keeping costs in check? And what are the ups and downs of using these technologies?
To learn more, join us on Friday, March 29, 2024 for a networking brunch session hosted by Yamagata Europe. Our Chief Technology Officer, Jourik Ciesielski, will explain how we use LLMs at Yamagata Europe and present our latest AI-driven service offering, which combines customized machine translation technology enriched with a GPT-boosted automated post-editing layer. Our advanced prompting techniques allow us to produce customized output for our customers that respects their corporate terminology, style guide instructions, and legacy data.
