Optimizing a Retrieval-Augmented QA Chatbot for HR Support using LLMs

Are you interested in:

• How LLMs are transforming customer support experiences?
• Building chatbots that answer complex HR inquiries?
• Optimizing retrieval and response generation for domain-specific chatbots?

If so, then this meetup is for you! Join Predict42 and Alexander Kowsik, our Lead ML Scientist, for an evening of learning, discussion, and networking.

In this session, Alexander will delve into a collaborative research project with SAP and TU München on optimizing a Retrieval-Augmented QA Chatbot for HR Support using LLMs.

Here's what you'll learn:

• How LLMs can automate responses to common HR inquiries, reducing wait times and workload for HR teams.
• How the project aims to replace fine-tuned language models with more powerful LLMs for improved retrieval accuracy and chatbot performance.
• Techniques for leveraging LLMs to enhance training data quality.

This meetup is ideal for engineers, data scientists, and anyone interested in the intersection of LLMs and practical applications in the enterprise world.

Come network with fellow enthusiasts, discuss the latest advancements in LLM technology, and gain insights into building next-generation chatbots!