AI in Localization Page 2

It's fascinating to watch how LLMs are taking over the translation industry. In the last few months, we've seen many great applications of how machines can assist and perform translation tasks. The reason LLM's seem to be taking over is because of the context they can accept and leverage when translating. Today, we're very excited to announce immediate access to the latest version of Crowdin AI with the fine-tuning feature! A way to feed TM's and glossaries of any size before asking the LLM to translate your content. Our complete solution for AI localization.

The first experiments with machine translation began in the 1950s. At that time, the technology was more like an automated dictionary. Machine translation became more useful in the 90s when statistical machine translation was introduced. However, the translation quality was still far from human translation. In 2010, when Google introduced Neural Machine Translation, things changed. Machine translation became a useful tool, which in many cases, influenced both the work of professional translators and clients' budgets. Now, AI is actively searching for its place within all industries, and localization is no exception. Let's see how you can run AI pre-translation and the potential of AI in localization.

Today we are happy to announce the invitation to the beta version of our new app – an AI chatbot built on OpenAI's ChatGPT API. Large language models are the hottest topic around our newsfeeds these days. While companies are still figuring out how to use them most efficiently, it is clear that this technology will change the way people and companies work in the near future. Crowdin has been experimenting with AI and ML for years to offer the most advanced technologies and make sure we enable our users to be most productive while doing global business. If you are looking for a comprehensive overview of these strategies, check out our AI localization guide. AI chatbot built on OpenAI's ChatGPT API we're showing today is just one of the first successful experiments we're excited to share. This is an private beta, and you're welcome to join.