LIVE CODE-ALONG: Building AI Assistants with CALM and Rasa

Join us for an interactive live code-along session where we'll take a deep dive into building a complex travel assistant using Rasa's CALM paradigm. This session will guide you through the process of creating a powerful AI assistant capable of handling tasks like flight bookings, hotel reservations, and more—all while optimizing for cost efficiency and reliability.

​You'll be coding along with Alan Nichol, cofounder and CTO of Rasa, and Hugo Bowne-Anderson, independent data and AI scientist.
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What You’ll Learn

- Building a Travel Assistant: Step-by-step guidance on implementing a sophisticated travel assistant using CALM, with features like flight booking, hotel reservations, and car rentals.
- Hands-On Coding: Participate in live coding exercises that bring these concepts to life within a GitHub Codespace.
- Optimizing Performance: Learn how to evaluate the assistant’s performance on metrics such as token usage, latency, and accuracy, and visualize the results.
- Domain-agnostic techniques: Although we'll be building a travel assistant, know that all the techniques, concepts, and tools we'll cover are totally domain-agnostic!

​Who Should Attend:

- AI developers and practitioners looking to build complex, cost-efficient AI assistants.
- Enterprise users interested in leveraging AI for travel-related tasks and beyond.
- Anyone eager to dive into advanced AI assistant development techniques.

​What You’ll Need

- Just a GitHub account! We’ll take care of everything else to get you up and running.

​Engage and Learn

​This is a hands-on session designed to be interactive. Come prepared to code, ask questions, and enhance your skills in building AI assistants.

0:00 Introduction and Welcome
2:06 Live Coding Session Overview
3:41 Enhancing LLMs with Business Logic
5:20 Calm: Separating Business Logic from Conversation
8:57 The Power of Structured Conversations
13:35 Demo: Building a Travel Assistant with CALM
23:48 Setting Up the Development Environment
28:11 Understanding Rasa Actions and Components
30:38 Interacting with the Travel Assistant
35:31 Evaluating Conversational AI Systems
39:43 Comparing CALM, LangGraph, and NLU Approaches
45:16 Deep Dive: CALM's Flow Structure and Logic
49:12 Customizing Responses and Managing Risk
52:51 Configuring Language Models in CALM
54:30 Upcoming Webinar: Advanced CALM Techniques
55:33 Q&A: Optimizing Model Selection for Different Tasks

[vishalahuja]

is there a github repo which has all this?

[Mahesh-yuth]

Hello, how do you run rasa calm in production ? Should we install rasa-plus or rasa-pro ?