A symbol identifying a genetic lineage as a paragroup of a specified haplogroup
Star (game theory), the value given to the game where both players have only the option of moving to the zero game
In linguistics, a symbol that prefixes a word or phrase that, in historical linguistics, is a reconstructed form for which no actual examples have been found; and in linguistics of a modern language (see: synchronic linguistics), is judged ungrammatical
The symbol is used to refer a reader to a footnote
The symbol is used to refer a reader to an endnote
Your Chatbot Must Be Able To Disambiguate. Disambiguation Is Part & Parcel Of Human Conversations And Should Be Part Of Your Chatbot Experience.
IBM Watson has a built-in feature which allows for the configuration of disambiguation. In this practical example you can toggle the feature on or off.
Apart from this you can set the message explaining the clarification, the default is, "Did you mean"…this could be changed to "This might help" or, "This is what I could find".
An option is also available for none of the above and the maximum number of suggestions can be limited. The scope and size of the dialog will determine what this number might be.
This also provides a central point where disambiguation can be switched off; this of this as a global toggle switch to enable or disable thi...
published: 11 Feb 2020
IBM Watson Assistant ~ Disabling Slot Digressions
You cat edit the digression setting for the restaurant booking node to prevent users from digressing away from it, and see how the setting change impacts the dialog flow.
Read More Here: https://cloud.ibm.com/docs/services/assistant?topic=assistant-tutorial-digressions
published: 10 Dec 2019
Introduction to Watson Assistant
If you have questions or comments on this video, please email us at [email protected]
Watson Assistant is more than a chatbot. Watson Assistant is an offering for building conversational interfaces into any application, device or channel.
Most chatbots try to mimic human interactions, which can frustrate users when a misunderstanding arises. Watson Assistant is more. It knows when to search for an answer from a knowledge base, when to ask for clarity and when to direct you to a human. Watson Assistant can run on any cloud - allowing businesses to bring AI to their data and apps wherever they are. Watson Assistant comes pre-trained with industry relevant content. It can make sense of your historical chat or call logs, and it has a visual dialog editor - meaning it's never been easier to ge...
published: 22 Aug 2019
IBM Watson Chatbot 2: Setting up IBM Resources
The 2nd video on Making your own Chatbot using IBM Watson Assistant.
The link for the course is given below.
http://www.anytimeteacher.com/courses/chatbotwatsonassistant/
published: 26 Aug 2020
IBM Watson Assistant Intent Recommendations
Most often the first step in creating a chatbot is listing the different intents. Intents are really the different intentions a user might want to exercise in using your chatbot.
From this example Customer Care Sample Skill, the different intents are clearly care related to each other.
The first intent addressed, usually is the greeting, then the goodbye, followed by small talk.
The key is to segment the intents accurately, and not have conflicts. And not have too many or too little intents.
If there are too many intents, conflicts are inevitable, with duplication of data. If there are too little, the chatbot will invariably not address the query and need of the user. You will start seeing scenarios like fallback proliferation.
This is the challenge, having the intents granular, but n...
published: 01 Jul 2020
Disambiguation Episode 0
Introducing Disambiguation, a podcast about removing some of the confusion around artificial intelligence and business automation. This is the inaugural episode and provides a short overview of the show and some of the topics that we'll cover. Join us weekly for an interesting conversation about AI and automation with some of the leading experts from a variety of companies and roles.
published: 05 Aug 2023
How to fix your IBM Watson Assistant NLP chatbot
In this video we talk you through how quickly and easily get your chatbot into a position where it is performing with correctness, confidence and clarity. For anyone looking to develop chatbots with Watson Assistant, this video is essential.
When running an IBM Watson Assistant chatbot, fixing any issues with utterances and intents can be difficult, time consuming and it can be a challenge to determine why your training data is underperforming.
published: 13 Aug 2021
IBM Watson Assistant ~ Temporarily digressing away from dialog
Temporarily digressing away from dialog
Digressions allow for the user to break away from a dialog branch in order to temporarily change the topic before returning to the original dialog flow. In this step, you will start to book a restaurant reservation, then digress away to ask for the restaurant's hours. After providing the opening hours information, your assistant will return back to the restaurant booking dialog flow.
Read More here: https://cloud.ibm.com/docs/services/assistant?topic=assistant-tutorial-digressions
published: 10 Dec 2019
IBM Watson Assistant: More Than a Chatbot
IBM Watson Assistant is an AI virtual assistant that will allow organizations to build, train and deploy conversational interactions into any application on any device or channel ( both on any public cloud or on-premises environment). It can be used at every stage of the analytics lifecycle - whether you are in the planning stage or the deployment stage. Watson Assistant allows organizations to create a better customer experience and improves employee productivity.
published: 18 Jun 2020
Disambiguation Podcast Generative AI and Collaborative Content Creation
In this week's episode we take a look at applying generative AI to create content in a team environment. I'm joined by Shawn Olds, co-CEO and co-founder of Boodle.ai. We discuss a wide range of topics around making generative AI more available and useful for business teams through applications that are built to empower teamwork, and are much easier to learn and use.
Check out Boodle.AI: https://boodle.ai/
Your Chatbot Must Be Able To Disambiguate. Disambiguation Is Part & Parcel Of Human Conversations And Should Be Part Of Your Chatbot Experience.
IBM Watson ha...
Your Chatbot Must Be Able To Disambiguate. Disambiguation Is Part & Parcel Of Human Conversations And Should Be Part Of Your Chatbot Experience.
IBM Watson has a built-in feature which allows for the configuration of disambiguation. In this practical example you can toggle the feature on or off.
Apart from this you can set the message explaining the clarification, the default is, "Did you mean"…this could be changed to "This might help" or, "This is what I could find".
An option is also available for none of the above and the maximum number of suggestions can be limited. The scope and size of the dialog will determine what this number might be.
This also provides a central point where disambiguation can be switched off; this of this as a global toggle switch to enable or disable this feature.
Apart from this, each node can be added or removed individually as the structure of the application changes.
Here the name of the node becomes important as this is what will be displayed to the user.
Hence it is crucial that the name of the node is clear, presentable and
explains the function and intention of the node it names.
Here is a short tutorial on the functionality and setup.
Your Chatbot Must Be Able To Disambiguate. Disambiguation Is Part & Parcel Of Human Conversations And Should Be Part Of Your Chatbot Experience.
IBM Watson has a built-in feature which allows for the configuration of disambiguation. In this practical example you can toggle the feature on or off.
Apart from this you can set the message explaining the clarification, the default is, "Did you mean"…this could be changed to "This might help" or, "This is what I could find".
An option is also available for none of the above and the maximum number of suggestions can be limited. The scope and size of the dialog will determine what this number might be.
This also provides a central point where disambiguation can be switched off; this of this as a global toggle switch to enable or disable this feature.
Apart from this, each node can be added or removed individually as the structure of the application changes.
Here the name of the node becomes important as this is what will be displayed to the user.
Hence it is crucial that the name of the node is clear, presentable and
explains the function and intention of the node it names.
Here is a short tutorial on the functionality and setup.
You cat edit the digression setting for the restaurant booking node to prevent users from digressing away from it, and see how the setting change impacts the di...
You cat edit the digression setting for the restaurant booking node to prevent users from digressing away from it, and see how the setting change impacts the dialog flow.
Read More Here: https://cloud.ibm.com/docs/services/assistant?topic=assistant-tutorial-digressions
You cat edit the digression setting for the restaurant booking node to prevent users from digressing away from it, and see how the setting change impacts the dialog flow.
Read More Here: https://cloud.ibm.com/docs/services/assistant?topic=assistant-tutorial-digressions
If you have questions or comments on this video, please email us at [email protected]
Watson Assistant is more than a chatbot. Watson Assistant is an offering f...
If you have questions or comments on this video, please email us at [email protected]
Watson Assistant is more than a chatbot. Watson Assistant is an offering for building conversational interfaces into any application, device or channel.
Most chatbots try to mimic human interactions, which can frustrate users when a misunderstanding arises. Watson Assistant is more. It knows when to search for an answer from a knowledge base, when to ask for clarity and when to direct you to a human. Watson Assistant can run on any cloud - allowing businesses to bring AI to their data and apps wherever they are. Watson Assistant comes pre-trained with industry relevant content. It can make sense of your historical chat or call logs, and it has a visual dialog editor - meaning it's never been easier to get started (developers are not required.) Want to learn more about Watson Assistant? Email [email protected]!
If you have questions or comments on this video, please email us at [email protected]
Watson Assistant is more than a chatbot. Watson Assistant is an offering for building conversational interfaces into any application, device or channel.
Most chatbots try to mimic human interactions, which can frustrate users when a misunderstanding arises. Watson Assistant is more. It knows when to search for an answer from a knowledge base, when to ask for clarity and when to direct you to a human. Watson Assistant can run on any cloud - allowing businesses to bring AI to their data and apps wherever they are. Watson Assistant comes pre-trained with industry relevant content. It can make sense of your historical chat or call logs, and it has a visual dialog editor - meaning it's never been easier to get started (developers are not required.) Want to learn more about Watson Assistant? Email [email protected]!
The 2nd video on Making your own Chatbot using IBM Watson Assistant.
The link for the course is given below.
http://www.anytimeteacher.com/courses/chatbotwatson...
The 2nd video on Making your own Chatbot using IBM Watson Assistant.
The link for the course is given below.
http://www.anytimeteacher.com/courses/chatbotwatsonassistant/
The 2nd video on Making your own Chatbot using IBM Watson Assistant.
The link for the course is given below.
http://www.anytimeteacher.com/courses/chatbotwatsonassistant/
Most often the first step in creating a chatbot is listing the different intents. Intents are really the different intentions a user might want to exercise in u...
Most often the first step in creating a chatbot is listing the different intents. Intents are really the different intentions a user might want to exercise in using your chatbot.
From this example Customer Care Sample Skill, the different intents are clearly care related to each other.
The first intent addressed, usually is the greeting, then the goodbye, followed by small talk.
The key is to segment the intents accurately, and not have conflicts. And not have too many or too little intents.
If there are too many intents, conflicts are inevitable, with duplication of data. If there are too little, the chatbot will invariably not address the query and need of the user. You will start seeing scenarios like fallback proliferation.
This is the challenge, having the intents granular, but not too granular. And also the inverse is true.
The test environment is IBM Watson Assistant Plus. Once we have uploaded the the data, Watson evaluates the user utterances and identifies common problem areas that customers mention frequently.
Watson Assistant then displays a set of discrete groups of related candidate user examples that capture the trending customer needs. The groups are so granular in scope that you might choose to add separately-grouped candidate user examples to the same intent.
You can review each recommended intent and the corresponding user examples to choose the ones you want to add to your training data.
Most often the first step in creating a chatbot is listing the different intents. Intents are really the different intentions a user might want to exercise in using your chatbot.
From this example Customer Care Sample Skill, the different intents are clearly care related to each other.
The first intent addressed, usually is the greeting, then the goodbye, followed by small talk.
The key is to segment the intents accurately, and not have conflicts. And not have too many or too little intents.
If there are too many intents, conflicts are inevitable, with duplication of data. If there are too little, the chatbot will invariably not address the query and need of the user. You will start seeing scenarios like fallback proliferation.
This is the challenge, having the intents granular, but not too granular. And also the inverse is true.
The test environment is IBM Watson Assistant Plus. Once we have uploaded the the data, Watson evaluates the user utterances and identifies common problem areas that customers mention frequently.
Watson Assistant then displays a set of discrete groups of related candidate user examples that capture the trending customer needs. The groups are so granular in scope that you might choose to add separately-grouped candidate user examples to the same intent.
You can review each recommended intent and the corresponding user examples to choose the ones you want to add to your training data.
Introducing Disambiguation, a podcast about removing some of the confusion around artificial intelligence and business automation. This is the inaugural episode...
Introducing Disambiguation, a podcast about removing some of the confusion around artificial intelligence and business automation. This is the inaugural episode and provides a short overview of the show and some of the topics that we'll cover. Join us weekly for an interesting conversation about AI and automation with some of the leading experts from a variety of companies and roles.
Introducing Disambiguation, a podcast about removing some of the confusion around artificial intelligence and business automation. This is the inaugural episode and provides a short overview of the show and some of the topics that we'll cover. Join us weekly for an interesting conversation about AI and automation with some of the leading experts from a variety of companies and roles.
In this video we talk you through how quickly and easily get your chatbot into a position where it is performing with correctness, confidence and clarity. For a...
In this video we talk you through how quickly and easily get your chatbot into a position where it is performing with correctness, confidence and clarity. For anyone looking to develop chatbots with Watson Assistant, this video is essential.
When running an IBM Watson Assistant chatbot, fixing any issues with utterances and intents can be difficult, time consuming and it can be a challenge to determine why your training data is underperforming.
In this video we talk you through how quickly and easily get your chatbot into a position where it is performing with correctness, confidence and clarity. For anyone looking to develop chatbots with Watson Assistant, this video is essential.
When running an IBM Watson Assistant chatbot, fixing any issues with utterances and intents can be difficult, time consuming and it can be a challenge to determine why your training data is underperforming.
Temporarily digressing away from dialog
Digressions allow for the user to break away from a dialog branch in order to temporarily change the topic before retu...
Temporarily digressing away from dialog
Digressions allow for the user to break away from a dialog branch in order to temporarily change the topic before returning to the original dialog flow. In this step, you will start to book a restaurant reservation, then digress away to ask for the restaurant's hours. After providing the opening hours information, your assistant will return back to the restaurant booking dialog flow.
Read More here: https://cloud.ibm.com/docs/services/assistant?topic=assistant-tutorial-digressions
Temporarily digressing away from dialog
Digressions allow for the user to break away from a dialog branch in order to temporarily change the topic before returning to the original dialog flow. In this step, you will start to book a restaurant reservation, then digress away to ask for the restaurant's hours. After providing the opening hours information, your assistant will return back to the restaurant booking dialog flow.
Read More here: https://cloud.ibm.com/docs/services/assistant?topic=assistant-tutorial-digressions
IBM Watson Assistant is an AI virtual assistant that will allow organizations to build, train and deploy conversational interactions into any application on any...
IBM Watson Assistant is an AI virtual assistant that will allow organizations to build, train and deploy conversational interactions into any application on any device or channel ( both on any public cloud or on-premises environment). It can be used at every stage of the analytics lifecycle - whether you are in the planning stage or the deployment stage. Watson Assistant allows organizations to create a better customer experience and improves employee productivity.
IBM Watson Assistant is an AI virtual assistant that will allow organizations to build, train and deploy conversational interactions into any application on any device or channel ( both on any public cloud or on-premises environment). It can be used at every stage of the analytics lifecycle - whether you are in the planning stage or the deployment stage. Watson Assistant allows organizations to create a better customer experience and improves employee productivity.
In this week's episode we take a look at applying generative AI to create content in a team environment. I'm joined by Shawn Olds, co-CEO and co-founder of Bood...
In this week's episode we take a look at applying generative AI to create content in a team environment. I'm joined by Shawn Olds, co-CEO and co-founder of Boodle.ai. We discuss a wide range of topics around making generative AI more available and useful for business teams through applications that are built to empower teamwork, and are much easier to learn and use.
Check out Boodle.AI: https://boodle.ai/
In this week's episode we take a look at applying generative AI to create content in a team environment. I'm joined by Shawn Olds, co-CEO and co-founder of Boodle.ai. We discuss a wide range of topics around making generative AI more available and useful for business teams through applications that are built to empower teamwork, and are much easier to learn and use.
Check out Boodle.AI: https://boodle.ai/
Your Chatbot Must Be Able To Disambiguate. Disambiguation Is Part & Parcel Of Human Conversations And Should Be Part Of Your Chatbot Experience.
IBM Watson has a built-in feature which allows for the configuration of disambiguation. In this practical example you can toggle the feature on or off.
Apart from this you can set the message explaining the clarification, the default is, "Did you mean"…this could be changed to "This might help" or, "This is what I could find".
An option is also available for none of the above and the maximum number of suggestions can be limited. The scope and size of the dialog will determine what this number might be.
This also provides a central point where disambiguation can be switched off; this of this as a global toggle switch to enable or disable this feature.
Apart from this, each node can be added or removed individually as the structure of the application changes.
Here the name of the node becomes important as this is what will be displayed to the user.
Hence it is crucial that the name of the node is clear, presentable and
explains the function and intention of the node it names.
Here is a short tutorial on the functionality and setup.
You cat edit the digression setting for the restaurant booking node to prevent users from digressing away from it, and see how the setting change impacts the dialog flow.
Read More Here: https://cloud.ibm.com/docs/services/assistant?topic=assistant-tutorial-digressions
If you have questions or comments on this video, please email us at [email protected]
Watson Assistant is more than a chatbot. Watson Assistant is an offering for building conversational interfaces into any application, device or channel.
Most chatbots try to mimic human interactions, which can frustrate users when a misunderstanding arises. Watson Assistant is more. It knows when to search for an answer from a knowledge base, when to ask for clarity and when to direct you to a human. Watson Assistant can run on any cloud - allowing businesses to bring AI to their data and apps wherever they are. Watson Assistant comes pre-trained with industry relevant content. It can make sense of your historical chat or call logs, and it has a visual dialog editor - meaning it's never been easier to get started (developers are not required.) Want to learn more about Watson Assistant? Email [email protected]!
The 2nd video on Making your own Chatbot using IBM Watson Assistant.
The link for the course is given below.
http://www.anytimeteacher.com/courses/chatbotwatsonassistant/
Most often the first step in creating a chatbot is listing the different intents. Intents are really the different intentions a user might want to exercise in using your chatbot.
From this example Customer Care Sample Skill, the different intents are clearly care related to each other.
The first intent addressed, usually is the greeting, then the goodbye, followed by small talk.
The key is to segment the intents accurately, and not have conflicts. And not have too many or too little intents.
If there are too many intents, conflicts are inevitable, with duplication of data. If there are too little, the chatbot will invariably not address the query and need of the user. You will start seeing scenarios like fallback proliferation.
This is the challenge, having the intents granular, but not too granular. And also the inverse is true.
The test environment is IBM Watson Assistant Plus. Once we have uploaded the the data, Watson evaluates the user utterances and identifies common problem areas that customers mention frequently.
Watson Assistant then displays a set of discrete groups of related candidate user examples that capture the trending customer needs. The groups are so granular in scope that you might choose to add separately-grouped candidate user examples to the same intent.
You can review each recommended intent and the corresponding user examples to choose the ones you want to add to your training data.
Introducing Disambiguation, a podcast about removing some of the confusion around artificial intelligence and business automation. This is the inaugural episode and provides a short overview of the show and some of the topics that we'll cover. Join us weekly for an interesting conversation about AI and automation with some of the leading experts from a variety of companies and roles.
In this video we talk you through how quickly and easily get your chatbot into a position where it is performing with correctness, confidence and clarity. For anyone looking to develop chatbots with Watson Assistant, this video is essential.
When running an IBM Watson Assistant chatbot, fixing any issues with utterances and intents can be difficult, time consuming and it can be a challenge to determine why your training data is underperforming.
Temporarily digressing away from dialog
Digressions allow for the user to break away from a dialog branch in order to temporarily change the topic before returning to the original dialog flow. In this step, you will start to book a restaurant reservation, then digress away to ask for the restaurant's hours. After providing the opening hours information, your assistant will return back to the restaurant booking dialog flow.
Read More here: https://cloud.ibm.com/docs/services/assistant?topic=assistant-tutorial-digressions
IBM Watson Assistant is an AI virtual assistant that will allow organizations to build, train and deploy conversational interactions into any application on any device or channel ( both on any public cloud or on-premises environment). It can be used at every stage of the analytics lifecycle - whether you are in the planning stage or the deployment stage. Watson Assistant allows organizations to create a better customer experience and improves employee productivity.
In this week's episode we take a look at applying generative AI to create content in a team environment. I'm joined by Shawn Olds, co-CEO and co-founder of Boodle.ai. We discuss a wide range of topics around making generative AI more available and useful for business teams through applications that are built to empower teamwork, and are much easier to learn and use.
Check out Boodle.AI: https://boodle.ai/