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How I built the world's best chatbot with Steve Worswick

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Manage episode 211173996 series 2093893
Content provided by Kane Simms. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kane Simms or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

We speak to the creator of the world’s best chatbot about how to design Loabner prize-winning conversational experiences.

Steve Worswick is the creator of Mitsuku, the general conversation chatbot that has won the Loabner prizefor the last two year’s straight.

13 years in the making, Mitsuku passed the Turing testand convinced a panel of judges that it’s human over the course of a 20 minute conversation, two years in a row, to be crowned the world’s best chatbot and conversational agent.

It's featured in the Wall Street Journal, BBC, The Guardianand Wired. And, unlike most chatbots that focus on serving a specific set of use cases, Mitsuku is a general conversational agent. That means you can speak to it about anything.

This week's Flash Briefing question is from Brielle Nickoloff of Witlingo: What would an open source voice assistant look like? Send us your thoughtsand you could feature on the VUX World Flash Briefingthis week!

What about voice?

Although Mitsuku is a text-based chatbot, this episode looks at how to take Steve’s 13 years of experience in creating conversational experiences and apply that to the voice first space.


In this episode

This episode is all about how to design and create a world-leading general conversational experience.

We get into detail about how Mitsuku is built (hint: it doesn’t use natural language processing or machine learning like most other conversational AI) and how Natural Language Processing-based conversational agents don’t quite hit the mark.

Steve tells us about Mitsuku’s rule-based supervised learning and how that’s leading to better experiences.

Despite Mitsuku passing the Turing test, Steve tells us why the Turing test is redundant.

We discuss user behaviour and how people treat a general conversational agent, from counselling to romance, bullying to marriage and money worries, and how to be sensitive on those topics.

We hear how varied responses can increase engagement. So much so that one person has spent 9 hours talking to Mitsuku!

We find out how to deal with pronoun resolution and how to refer back to what was said earlier in the conversation.

We uncover how brands are using Mitsuku as part of their conversational experiences, handing off to her when a user strays away from the use cases that their bot can handle.

We chat about how Alexa fairs against Mitsuku and hear where Siri would have finished if it was entered in to the Loabner prize competition.

Perhaps one of the most valuable lessons in this episode is the importance of persisting. Creating a conversational agent, a true conversational experience, takes time. It’s not a quick fix that you cobble together with a quick Alexa Skill. It takes years of development, iteration and constant improvement. But, if you stick with it, you might end up with the next best conversational agent.


Our guest

Steve Worswick started out in IT support and built Mitsuku as a passion project on the side. 13 years of hard work and 3 Loabner prizes later, he’s now working at the world’s largest chatbot agency and provider, PandoraBots.


Where to listen

Links

Contact Pandorabots

Check out Mitsuku on Pandorabots

Talk to Mitsuku

Check out Steve's talk at the Chatbots and Voice Assistants Londonevent



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

322 episodes

Artwork
iconShare
 
Manage episode 211173996 series 2093893
Content provided by Kane Simms. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kane Simms or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

We speak to the creator of the world’s best chatbot about how to design Loabner prize-winning conversational experiences.

Steve Worswick is the creator of Mitsuku, the general conversation chatbot that has won the Loabner prizefor the last two year’s straight.

13 years in the making, Mitsuku passed the Turing testand convinced a panel of judges that it’s human over the course of a 20 minute conversation, two years in a row, to be crowned the world’s best chatbot and conversational agent.

It's featured in the Wall Street Journal, BBC, The Guardianand Wired. And, unlike most chatbots that focus on serving a specific set of use cases, Mitsuku is a general conversational agent. That means you can speak to it about anything.

This week's Flash Briefing question is from Brielle Nickoloff of Witlingo: What would an open source voice assistant look like? Send us your thoughtsand you could feature on the VUX World Flash Briefingthis week!

What about voice?

Although Mitsuku is a text-based chatbot, this episode looks at how to take Steve’s 13 years of experience in creating conversational experiences and apply that to the voice first space.


In this episode

This episode is all about how to design and create a world-leading general conversational experience.

We get into detail about how Mitsuku is built (hint: it doesn’t use natural language processing or machine learning like most other conversational AI) and how Natural Language Processing-based conversational agents don’t quite hit the mark.

Steve tells us about Mitsuku’s rule-based supervised learning and how that’s leading to better experiences.

Despite Mitsuku passing the Turing test, Steve tells us why the Turing test is redundant.

We discuss user behaviour and how people treat a general conversational agent, from counselling to romance, bullying to marriage and money worries, and how to be sensitive on those topics.

We hear how varied responses can increase engagement. So much so that one person has spent 9 hours talking to Mitsuku!

We find out how to deal with pronoun resolution and how to refer back to what was said earlier in the conversation.

We uncover how brands are using Mitsuku as part of their conversational experiences, handing off to her when a user strays away from the use cases that their bot can handle.

We chat about how Alexa fairs against Mitsuku and hear where Siri would have finished if it was entered in to the Loabner prize competition.

Perhaps one of the most valuable lessons in this episode is the importance of persisting. Creating a conversational agent, a true conversational experience, takes time. It’s not a quick fix that you cobble together with a quick Alexa Skill. It takes years of development, iteration and constant improvement. But, if you stick with it, you might end up with the next best conversational agent.


Our guest

Steve Worswick started out in IT support and built Mitsuku as a passion project on the side. 13 years of hard work and 3 Loabner prizes later, he’s now working at the world’s largest chatbot agency and provider, PandoraBots.


Where to listen

Links

Contact Pandorabots

Check out Mitsuku on Pandorabots

Talk to Mitsuku

Check out Steve's talk at the Chatbots and Voice Assistants Londonevent



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

322 episodes

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