Large language models for multilingual AI-driven virtual assistants

The Kore.ai XO platform is truly a global and multilingual solution. When customers interact with the help and support of Intelligent Virtual Assistants (IVAs), they prefer to interact in their native language or in one language that they are most comfortable with. This way they can express their questions precisely.

When your business interacts with customers around the world, a multilingual intelligent virtual assistant can help ensure that everyone receives the same level of quality service, regardless of the language they speak. The Kore.ai AI-powered XO platform provides a unique capability that allows you to add multiple languages ​​to your virtual assistant and create language-specific models in 25+ popular languages.

The kore.ai XO platform supports about 120 languages, with more coming soon. Languages ​​supported by the platform range from Arabic to English and even Swahili. It’s easy to manage any combination of languages ​​you want. See the list of supported languages ​​here.

There are three different ways that Kore.ai supports language:

1. The Kore.ai XO platform has a built-in multilingual model Detects and chooses which languages ​​to use.
2. The curated model allows you to do the translation manually, so you have the most accurate answers from the bot.
3. Translation Model – Translation can be automated using pre-built or custom translation services.

Using a combination of these capabilities with the help of LLMs through Design Time, Kore.ai can support most languages.

The concept of large language models is based on the ability to understand exactly what a person is trying to say. The natural language processing (NLP) part of the model has been greatly improved by using large amounts of training data, as well as the ability to generate relevant answers to queries.

You can start creating Intelligent Virtual Assistants (IVA) in one language and add additional languages ​​as needed. When a user speaks to the chatbot in their preferred language, but then switches to another language (say from German to English), the intelligent virtual assistant recognizes this change and switches to English.

Multilingual IVA is an intelligent virtual assistant with artificial intelligence that can speak to users in multiple languages ​​instead of the default English. Kore.ai XO platform Supports 100+ languages ​​with automatic detection Which makes creating your intelligent virtual assistant in multiple languages ​​easy and efficient. The default language selected when creating the assistant cannot be changed, but during training you can choose several languages ​​for the conversation. For example, you can program the IVA using English commands, but train the bot to speak German.

Because the model is language agnostic, you can train the bot in any language or combination of languages ​​of your choice.

The Kore.ai XO platform will help you:

• Configure the required language
• Identify the NLU model
• Identify the different modes of language definition – basic mode, advanced mode, using a language pack
• Manage VA and user response translations
• Management of the multilingual NLU model
• Train and chat with your virtual assistant

Aspects to keep in mind when building a multilingual VA

If you want to create a multilingual VA, there are a few points to keep in mind:

1. There are a set of basic building blocks for a multilingual VA: the language in which it speaks to users, the language in which you train it, and the process by which it discovers and chooses which languages ​​to use. Please continue reading this article to learn more.
2. You can create a new virtual assistant or add new languages ​​to an existing one. Read more about managing languages here.
3. Multilingual VAs have language-specific components and some features exhibit different behavior compared to monolingual assistants. Read more about it here.
4. Translation can be automated using pre-built translation services from providers such as Microsoft or Google; or custom services, including any you can build at home. Read it here to learn more.

The NLU language is the one in which you train the assistant to identify the user’s intent. The NLU model is built using the NLU language of your choice. This language can be the same as the spoken language or any other supported language.

From a business perspective, if companies want to enhance the experience they provide to their customers, employees, or other partners, it’s important to remember that that experience often involves a full dialogue. It can be as simple as asking a question, providing information in response to a request, or completing a transaction.

The Kore.ai XO platform greatly simplifies the process of creating intelligent virtual assistants in multiple languages. The skills required for this task are no different from those already acquired when creating English virtual assistants. Ideally, the person performing this task should be someone with industry-specific knowledge related to the use of an intelligent virtual assistant, such as banking or pizza restaurants.

As for the cost of building multilingual AI-driven virtual assistants by licensing the Kore.ai XO platform, it depends on whether the user has direct access to the Open AI LLM or uses the built-in LLM that the Kore.ai XO platform uses. This is a user choice.

Kore.ai plans to introduce additional languages ​​in the coming months. There is a strategic plan for the phased introduction of these languages ​​for each language learning model (LLM) that users can choose from. Using Few Shot and Zero Shot models, Kore.ai thoroughly examines each language to determine which LLM performs better among open source LLMs and adjusts them accordingly.

Increase engagement and loyalty with multilingual IVAs on the Kore.ai XO platform

With the multilingual capabilities of the Kore.ai XO platform, you can improve the experience of your customers and employees by communicating with them in their preferred language.

Not only that, with the Kore.ai language detection algorithm, IVA can recognize the language based on the user’s expressions and switch conversations to the appropriate language – while preserving the context.

Are you ready to speak to your customers in their preferred language? Learn more tips about working with multilingual assistants or try the Kore.ai platform for yourself.