We are very excited to be participating at the 2022 Chatbot Conference, which, as the title suggest, is also going
For the past 40 years interacting with digital devices has required us to understand what button to press, what menu to expand and what option to select. Whether with a mouse, trackpad, or our fingers, we are responsible for figuring out where to point and click to get a task done. The ability to converse with machines flips that dynamic around.
Welcome to the second episode of OpenDialogues, the podcast hosted by Maaike Coppens and Ronald Ashri discussing everything Conversation Design and OpenDialog.
Language understanding is hard. This is perhaps the most crystal clear lesson of the past few years of intensified efforts
Yesterday, at Google I/O there was a particularly relevant announcement for us. Google introduced LaMDA. A Language Model for Dialogue
After a couple of years helping clients design and deploy conversational applications (using a variety of existing tools) we realised that something fundamental was missing. Where was the conversational model in conversational design and tooling? So I reached back into my academic AI days and the field of multi-agent research for some help and inspiration. The result is OpenDialog.
The Conversational AI challenge is typically framed as a natural language understanding (NLU) through machine learning (ML) type of problem. Is that, however, all there is to it? At OpenDialog we think that there is a broader viewpoint that subsumes the NLU challenge and provides us with more tools to build effective Conversational AI applications.