Large language models (LLMs) are the most recent advancement in general AI, and they quickly become a key part of automated customer service applications. They help customer service reps understand customer inquiries, and they can also be used to generate responses to customers.
Large language models handle a wide range of customer queries and requests, including those that are misspelled or use colloquial language. This is because they are trained on large amounts of data, including social media data, which captures the way people actually speak.
The transformer models are a new type of neural network architecture that has been shown to be very successful in a variety of natural language processing tasks.
In particular, they have been shown to be very effective at building conversational AI applications, such as chatbots and digital assistants.
From engaging recommendations to low-level tasks automation, the benefits of AI for customer service are significant and result in customer satisfaction scores that are up to 35% higher than those of non-AI customer service experiences.
Our automated dialogue system (ADS) is an artificial intelligence system that engages in natural language conversations with human users. It is based on a number of artificial intelligence technologies, including natural language processing, machine learning, and knowledge representation. The system is designed to learn from its interactions with users. The system is also designed to be scalable and able to handle large numbers of users.
CEO, Veeme Media
“Since we installed it, the response rate has been amazing. Having a way to automate my customer service was one of the best decisions ever made. With Activechat, we answer most requests instantly.”
Product Designer
“We used it for the WooCommerce shop. The bot automatically pulled all the data from the store, and users could place orders via chat on Facebook Messenger. Activechat had a prebuilt template, so all I had to do was replace the default names with my store name. Setup took a couple of minutes. Fastest way to build a bot.”
CEO, E-Learning
“The architecture of using skills is amazing as it saves us a lot of time. After a tiny bit of learning, it becomes a perfect tool which you cannot look beyond. The support is fantastic as they are ready to listen to us and take necessary action to meet our needs.”
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