NLU vs LLM: A Battle of Conversational AI Approaches
GenAI
LLM
NLU
This workshop provides a comprehensive approach to building Conversational AI products in the generative AI era. Participants will explore the trade-offs between NLU and LLM approaches and learn how to identify their specific technology needs. Through hands-on design exercises and interactive discussions, attendees will gain a deeper understanding of the strengths and weaknesses of each approach. Ultimately, participants will leave the session a framework to choose the most effective technology or combination of technology for their use case. This class is ideal for Product Managers, Developers, and Designers looking to enhance their products with cutting-edge Conversational AI.
Time & Place
March 19
14:00 - 15:30
The Ritz-Carlton Berlin
Salon Tiergarten
Classroom Seating
Max. Capacity: 24 Seats
Meet Your Intructors
Nicolle Merrill
Principal Conversational AI Designer, Intuit
Nicolle Merrill works at the intersection of business, AI, and design. At Intuit Nicolle works across product, design, engineering, and data science teams to build Intuit Assist, a new generative AI (GenAI)-powered assistant that will provide personalized, intelligent recommendations to help consumer and small business customers make smart financial decisions. Over the past year, Nicolle has built generative AI products, led efforts to upskill design teams for generative AI, and taught prompt engineering across Intuit.
What To Expect
Who Is This For?
✓ Product Managers
✓Developers
✓Designers
Pre-Requisites
✓ Basic understanding of Conversational AI and its applications
✓ Familiarity with NLU and LLMs
✓ Familiarity with Conversational AI product development processes
✓ (optional) A use case for a new/existing chatbot
What You'll Learn & Do?
✓Understand NLU, LLM, hybrid (NLU/LLM) trade offs
✓Apply a design framework to new/existing use case
✓Identify the right technology for a new/existing use case
✓Engage in lively discussion
Agenda & Activities
Getting Settled 5 minutes
Information Session 40 minutes
Break 5 minutes
Individual / Group Exercise 20 minutes
Q&A/Discussion 20 minutes
Reflection/ Discussion 20 minutes