Blueprint for AI Engagement: Conversational Intelligence from a Technical Business Perspective / Technical Deep Dive into NLU and LLMs (TTAI2061)

Course Objectives

Key Objectives

• Technical Fundamentals of Conversational AI: Gain an in-depth understanding of the technical aspects of Conversational AI, focusing on NLU and LLMs.
• Implementation Strategies: Learn how to implement NLU and LLMs in various scenarios, understanding the infrastructure and coding requirements.
• NLU vs. LLMs – Making the Right Choice: Explore detailed criteria and use-cases for choosing between NLU and LLMs, understanding their strengths and limitations in different scenarios.
• Optimizing for Performance and Cost: Discover techniques for optimizing Conversational AI implementations to achieve cost savings and enhanced performance.
• Minimizing Hallucinations: Learn strategies to minimize errors and hallucinations in AI outputs, ensuring reliability and accuracy in real-world applications.

Key Benefits:

• Hands-On Technical Knowledge: Acquire practical, technical knowledge for implementing Conversational AI with a focus on NLU and LLMs.
• Decision-Making Skills: Develop the ability to choose the right technology (NLU vs. LLM) based on specific technical requirements and business goals.
• Cost and Performance Optimization: Learn how to optimize Conversational AI implementations for cost efficiency and high performance.
• Quality Assurance: Gain insights into minimizing errors and hallucinations, crucial for maintaining the integrity of AI-driven systems.

Course Prerequisites

Participants, ranging from decision-makers seeking strategic insights to tech enthusiasts keen on the latest AI advancements, will find this series invaluable. It offers a unique opportunity to deepen understanding, enhance skills, and explore the potential of AI to transform business operations. Whether attending individual sessions to address specific interests or engaging with the entire suite for a comprehensive overview, attendees will leave equipped to lead AI initiatives, drive innovation, and secure a competitive edge in the rapidly evolving digital landscape.

Course Agenda

• Technical Fundamentals of Conversational AI: Gain an in-depth understanding of the technical aspects of Conversational AI, focusing on NLU and LLMs.
• Implementation Strategies: Learn how to implement NLU and LLMs in various scenarios, understanding the infrastructure and coding requirements.
• NLU vs. LLMs – Making the Right Choice: Explore detailed criteria and use-cases for choosing between NLU and LLMs, understanding their strengths and limitations in different scenarios.
• Optimizing for Performance and Cost: Discover techniques for optimizing Conversational AI implementations to achieve cost savings and enhanced performance.
• Minimizing Hallucinations: Learn strategies to minimize errors and hallucinations in AI outputs, ensuring reliability and accuracy in real-world applications.