Remote interpreting solutions have been both in development and in use for a long time now. However, prior to the COVID-19 pandemic, uptake was slow. The onset of the pandemic changed this drastically, and, ever since, it seems that the growth, innovation, and investment in this field has been unstoppable. Once considered an afterthought or sub-par alternative to onsite services, remote interpreting has stepped out of the shadows to become the key to continuity of business and care in many industries.
The language services industry is undergoing a profound transformation with the emergence of cutting-edge technologies such as ChatGPT and large language models (LLMs). These powerful language generation models have captivated the attention of businesses and language professionals alike, offering exciting possibilities for translation, localization, and content creation.
If you follow Nimdzi Insights then you know that we like to create rankings. Why, you ask? The answer’s simple. We — along with our clients and industry peers — like to know who the top players are in any given field or area. We look at the global market for language services as a whole, as well as in-country markets and leaders in specific industry verticals and services.
If you follow Nimdzi, you know that every year we publish a report called The Nimdzi 100 that ranks the 100 largest language service providers (LSPs) in the world. It’s an important indicator that tells us a great deal about how the global market for language services has developed in the latest financial year, and historical data gathered over the years further allows us to generate trend lines and consider industry growth over a longer period of time.
The year is 2023. Six years after the big neural MT push of 2017, it seems appropriate to say that machine translation (MT) has finally found its way in the localization industry. Most MT providers are producing reasonably acceptable baseline quality and MT solutions have never been more accessible. As a result, MT is becoming a reality in many organizations. What’s more, MT technology has reached a certain level of maturity in terms of customization and training.
Developing your own approach to using generative AI models such as ChatGPT — one that is both practical AND ethically sound — is perhaps the best way of proving naysayers wrong and ensuring that you get the most out of this promising piece of technology. Perhaps surprisingly, the first key to success with generative AI models is to learn how to talk to them.
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There’s no point having data if it’s not up to date! That’s why we are publishing the latest version of our graph that shows the market split between onsite and remote interpreting services (first published in the 2021 Nimdzi Interpreting Index). We wanted to see if what we predicted in September 2021 regarding the market split in the post-pandemic world actually panned out.
In November 2022, OpenAI released ChatGPT, gaining 100 million users within two months and setting a record for fastest-growing user base. Arguably,ever before have we seen such an event get so much hype in the history of technology. Language technology suddenly got propelled into the center of the wider public’s attention in a way unheard of since Google Translate entered the scene.
It won’t come as any surprise that, like so many other organizations, Nimdzi Insights has been experimenting with ChatGPT since its public release in November 2022. While large language models (LLMs) have been around for a number of years, they have mostly gone unnoticed until ChatGPT broke the dam.