Current State of LLMs in Production
Speakers

Apurva Misra is an AI Consultant at Sentick, focusing on assisting startups with their AI strategy and building solutions. She leverages her extensive experience in machine learning and a Master's degree from the University of Waterloo, where her research bridged driving and machine learning, to offer valuable insights. Apurva's keen interest in the startup world fuels her passion for helping emerging companies incorporate AI effectively. In her free time, she is learning Spanish, and she also enjoys exploring hidden gem eateries, always eager to hear about new favourite spots!

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.
SUMMARY
The rapid advancements in Natural Language Processing (NLP) have paved the way for the deployment of Large Language Models (LLMs) in real-world production systems. This talk aims to provide a succinct overview of the current state of Large Language Models (LLMs) in production, emphasizing their capabilities, deployment strategies, and the challenges encountered.

