Implementing multiple languages
If you want to implement more than one language in your virtual agent then there's two main tasks: First we have to train the second language so that the model can understand and detect it, and second we have to...
All Activities
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Tracking important flows with goals
In this path, we'll talk about goals. Goals track flow usage. They generate statistics about how many people go through (or complete) your flows, and can tell you important things about how your users are using your virtual agent.
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Supercharging Productivity and Build Time
How are generative AI and large language models redefining conversational AI? That's the question we are going to explore in this course.
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Getting started with the API connector
In this path, you'll learn how to use the API connector to connect your virtual agent (VA) to external systems and databases. These connections are crucial for providing personalised experiences & performing actions on our users' behalf, and can dramatically...
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What is a virtual agent?
Not quite sure what a virtual agent is, or what it can do for you? In this course we explain the basics.
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Implementing a virtual agent with boost.ai
Curious to find out what a project together with boost.ai looks like? In this course, we outline the typical steps we take together to create a great virtual agent project.
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How does a virtual agent work?
In this course we will focus on how the virtual agent (VA) itself works and how we build it
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Conversation repair with system actions
System actions trigger when a specific situation occurs and they allow our VA to recover the conversation and give the user a way forward. In this course, we cover how they do that and what we should think of when...
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Building at scale with objects
In this path, you'll learn how to use objects. Objects are reusable templates for intents, training- and test data, and even responses. They allow us to create hundreds of intents in just a few hours, and can make building, managing...
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Extract and use information with entities & API connectors
This course will cover the basics of entity extraction, how we gather and use information from our end users. It also covers the basics of API connectors and if statements.
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Working with context topic
In this course we'll teach you all about context topic: the virtual agent (VA)'s capability to remember what the user was talking about. This ensures a much smoother conversational experience, and improves customer satisfaction (CSAT).
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Working with context action
In this course we will teach you how to use context action: improving your virtual agent (VA)'s capabilities to understand follow-up questions like "why do you need to know?", or "Can you help me find it?".
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Create value by using voice bots
In this course we'll explore how conversational IVRs, or voice bots, can help create customer experiences that help us retain customers and bring value to our businesses. We'll also learn about the synergies between chat and voice and the benefits...
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Improving your virtual agent
This course covers how you improve the VA through clean-up reports and by resolving issues from the test results.
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Creating virtual agent content
This course covers how to create basic responses and action flows. Finally, it wraps up the AI Trainer certification.
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Ai trainer certificate
Learn everything you need to know to start working in the admin panel: Build & train a virtual agent from scratch. Create simple/complex responses. Integrate your virtual agent with APIs. After completion, you will be able to download a certificate...
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Intro to the AI trainer certification
Before we start, let's get an overview of the certification and how to work with it.
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Building & training your virtual agent
This course covers how to build & train your virtual agent
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Create value by implementing live chat
This course explores the question "How can your project benefit from a live chat integration?" It also shows how boost.ai's human chat works, which is boost.ai's own live chat solution.
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Get started with the downloadable clean-up report
In this course, you'll learn how to start using the downloadable clean-up reports to improve your model. It contains tips and tricks on what to work on first, and when you should prioritize which report.
