Large Language Models (LLMs) have proven their usefulness for streamlining workflows, optimizing linguistic assets, and shortening quality assurance cycles, among many other applications.

Through LLMs, AI is not just automating tasks, but also reshaping how language service providers (LSPs) and localization divisions at the enterprise operate, deliver value, and grow their businesses.

These changes and the overall impact of AI in translation are being felt across the language industry, and the second edition of Slator Pro Guide: Translation AI captures new and updated use cases illustrating this rapid evolution.

The guide examines not only impact, but also value, implementation effort, technology involved, business opportunities, and user perspectives for 20 use cases.

Highlighting the wide-ranging applications of AI in translation, from core machine translation (MT) to sophisticated production and linguistic tasks, a few primary business areas appear to be influenced by AI, though its impact is certainly not limited to these.

Source: Slator

Full article: https://slator.com/five-ways-ai-is-changing-translation-business/