Lesson 9: How to use LLMs, NLU & Prompt Engineering in Voiceflow

Welcome to Advanced Integration Techniques in Voiceflow

In this lesson, we delve into the practical applications of LLMs, NLU, and prompt engineering within Voiceflow, enhancing your AI agent’s ability to understand and respond to user interactions dynamically and effectively.

What you’ll need: Voiceflow Account

What to Expect:

This session is designed to equip you with the skills necessary to integrate advanced language models and natural language understanding into your AI projects. You will learn not only when and how to utilize these technologies but also how to apply prompt chaining techniques to create fluid, context-aware conversations. We’ll explore how to personalize interactions and conduct sentiment analysis to tailor responses based on user emotions and inquiries.

By the end of this lesson, you will be able to:

1. Understand the strategic application of LLMs and NLU in your AI projects.

2. Utilize prompt chaining to maintain context and continuity in conversations.

3. Implement personalization and sentiment analysis to enhance user engagement.

4. Create a dynamic persona that adjusts its communication style according to user interactions.

Get ready to bring your AI agent to life with advanced capabilities that make your digital interactions more meaningful and user-centric. Let’s get started!

Time: 45 Min

Table of Contents

1. Lesson 9: How to use LLMs, NLU & Prompt Engineering in Voiceflow

2. Resources

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