Building reliable & accurate GenAI applications with Entity RAG & ChatGPT

Join us to explore the latest cutting-edge AI technology behind the most accurate and reliable GenAI applications transforming customer service.

We're demonstrating how combining entity-enhanced RAG mechanics with large language models (LLMs) creates more reliable AI, and featuring a compelling customer service use case as a demo.

We’re excited to be hosting with with Kern.ai.

In today's market, meeting customer expectations is increasingly important. Many companies are turning to AI to enhance their customer service, though the reliability and trustworthiness of GenAI and LLM applications still present significant challenges. Key obstacles to address include ensuring the quality of data used to feed applications and equipping LLMs with the capability to accurately identify and differentiate among various entities within complex documents.

What we will cover:

🤖 Powerful CS GenAI Applications: Discover foundational AI use cases in customer service and explore the role of enterprise ChatGPT.

🥇 Improving Accuracy and Reliability: Discover how Retrieval Augmented Generation (RAG) works with ChatGPT and how “Entity RAG” can improve accuracy and reliability in high-value and regulated environments.

⚒️ Practical Development Strategies: We present three use cases, each demonstrating development approaches that underline the variations in accuracy and reliability.

🔎 Future Trends: Gain foresight into the evolving landscape of AI in customer service and how to stay ahead in the game.

Who Should Attend:

This webinar is essential for business leaders, customer service professionals, data scientists, and anyone keen on harnessing the power of AI to elevate their customer service game. Whether you're just starting out or looking to enhance your current systems, this session will equip you with the knowledge and tools you need for the journey ahead.

Please note, we will be using an insurance customer service example to showcase the use case deep-dive.

📅 Date: Tuesday, April 23rd, at 1pm CEST
🌍 Location: Online, accessible from anywhere in the world
💼 Hosted by: Kern AI & Tilores.io
💻 Event Format: Online via Linkedin Live