Chatlayer 3.0 for Big Bots

How to deal with large amounts of intents Creating a simple chatbot for a small organization is easy. Conversations are usually limited in scope and the amount of intents a user can have is typically quite small. For large corporations or more advanced chatbots this is quite different. Some of their chatbots cover all different… Continue reading Chatlayer 3.0 for Big Bots

Language independent NLP

The biggest time saver in bot building since the introduction of AI ​ This week Chatlayer launched a major upgrade to its platform. The Chatlayer 3.0 release brings many improvements. We now have built-in voice bot functionality, versioning, synonym entities, a code editor, an iFrame module and advanced NLP analytics that tell you where and… Continue reading Language independent NLP

Creating Diverse Expressions

This blogpost will dive deeper in to a methodology we use at Chatlayer to create chatbots that can really understand what your users say. Creating a chatbot seems easy at first. Let’s take a simple Frequently Asked Questions (FAQ) bot for a pizza place as an example. If a user asks “Which toppings do you… Continue reading Creating Diverse Expressions

Machine Translation versus Language Independent NLP

In this short blogpost I will explain why the Chatlayer.ai Language Independent NLP outperforms Google Translate combined with regular NLP engines. I often get asked the question if we use machine translation to get a language independent NLP. If I subsequently say no, people are surprised and ask why we took a different approach and… Continue reading Machine Translation versus Language Independent NLP