Masterclass

The Rasa Masterclass is a series of videos that will cover the entire process of developing a contextual AI assistant–from idea to deploying in production.

The Rasa Masterclass Handbook: Episode 12

In this episode, we’ll walk through deploying Rasa X to Kubernetes step-by-step, using Helm to configure the deployment.…

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The Rasa Masterclass Handbook: Episode 11

In this episode, we’ll make the assistant available to real users on two publicly accessible messaging channels: Telegram and a website chat widget.…

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The Rasa Masterclass Handbook: Episode 10

In this episode, we will cover inviting guest testers to talk to your assistant, reviewing the collected conversations, and improving your assistant based on those conversations.…

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The Rasa Masterclass Handbook: Episode 9

In this episode we’ll discuss why you should use Rasa X, demonstrate how to deploy Rasa X to Google Cloud Platform, and connect the Rasa X instance to the medicare locator assistant.…

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The Rasa Masterclass Handbook: Episode 8

In Episode 8, we focus on developing the medicare locator assistant by adding custom actions that interface with backend integrations, implementing FormAction, and adding a fallback policy.…

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The Rasa Masterclass Handbook: Episode 5

In Episode 5 of the Rasa Masterclass, we introduce dialogue management, which is controlled by a component called Rasa core. Dialogue management is the function that controls the next action the assistant takes during a conversation.…

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The Rasa Masterclass Handbook: Episode 4

In Episode 4, we’ll examine what each component does and what’s happening under the hood when a model is trained.…

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The Rasa Masterclass Handbook: Episode 3

Episode 3 of the Rasa Masterclass is the first of a 2-part module on training NLU models. In this portion, we’ll focus on choosing a training pipelin configuration, training the model, and testing the model.…

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The Rasa Masterclass Handbook: Episode 2

In Episode 2 of the Rasa Masterclass, we focus on generating NLU training data, including: the basics of conversation design, how to format your assistant’s NLU training data, and how to define the intents and entities your assistant can understand.…

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