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Current State of LLMs in Production

Posted Oct 18, 2023 | Views 1.7K
# Natural Language Processing
# LLMs
# Truckstop
# Truckstop.com
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Apurva Misra
Senior Machine Learning Engineer @ Truckstop

Apurva Misra is a Senior Machine Learning Engineer at Truckstop and also works with a Data Engineering Bootcamp to help people with non-technical backgrounds enter the data field. She has a Master’s from the University of Waterloo where her research was at the intersection of driving and machine learning. Apurva also has a keen interest in the start-up world and is always up for a discussion on the latest TechCrunch update. When she’s not working she loves discovering hidden gem places to eat, tell her about your favourite spot!

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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

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.

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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.

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