LLM-powered features & tools
In this course we've highlighted some of our exciting LLM-powered features and tools.
All Activities
-
-
How to reduce immediate human escalation
Reduce immediate human escalation and improve automation. Learn how to reduce the number of users who ask to speak to a human without trying the virtual agent first.
-
Covering a wide range of topics & tasks in days
We can combine a variety of different methods to create a virtual agent ready to answer questions on thousands of topics. In this course we will se what they are and their strengths.
-
Measuring and analysing CSAT
Customer satisfaction, or CSAT, is an important metric that can be difficult to work with. In this course you will learn not only how to best measure CSAT, but also how to analyse your CSAT data.
-
Virtual agent in production
Let's look at the steps we take when our virtual agent is in production to improve it. We look at the different types of initiatives we might take to increase traffic by increasing visibility and improving channel strategy, expanding the...
-
Onboarding for project managers
Are you the project manager for a new virtual agent? This onboarding covers the entire implementation journey, from planning to building to going live. Take this onboarding to stay one step ahead and lead your team to success.
-
Planning your virtual agent
Let's look at everything you need to know about virtual agent projects with boost.ai before you start building. We look at why you need a virtual agent, scoping, KPIs, and success planning.
-
Your virtual agent in 'hypercare'
Let's look at the activities we undertake in the period after the virtual agent goes live. From conversation review to the tool we have to improve the virtual agent, everything is covered in the period we call hypercare.
-
Implementing your virtual agent
Let's look at the important parts of implementing a virtual agent. We cover the whole process from building the VA to quality assurance.
-
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...
-
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.
-
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.
-
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...
-
-
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.
-
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.
-
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
-
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...
-
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...
-
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.
-
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?".
-
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).
-
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...
-
Get started with conversation review
Conversation review is a strong tool in our data analysis toolkit, but before we get to that point we first need to know the basics: What is a review? What tools are available? How do we incorporate it in our...
