Munich MLOps Community Meetup #4

Hello fellow MLOps Engineers and ML Enthusiasts

We're announcing the date of our next meetup event - we're back on Tuesday, October 10th at 18:30, at the Machine Learning Reply GmbH, Solar Room Events Space.

Event agenda:

18:30 - 18:50 - Beers & Networking

18:50 - 19:00 - Opening talk from the host of the event

19:00 - 19:40 - Talk 1: Taking the Reigns of the Cloud: A Human-Centric Approach to ML Experiments - Artem Trofimov, Team Lead at JetBrains

19:40 - 20:20 - Talk2: Mastering LLMs in the Era of Evolving Trends - Nicolas Remerscheid, Machine Learning Engineer at Weights & Biases

20:20 - Onwards - Beer, pizza & networking

More about the talks:

1. Talk #1: "Taking the Reigns of the Cloud: A Human-Centric Approach to ML Experiments" - A recurring challenge faced by many ML practitioners is moving from local experimentation to remote, scalable training. We argue that the main issues behind this challenge are the lack of a simple (human-centric) interface and the GPU shortage experienced by major cloud providers. In this talk, we first overview existing ways to run ML experiments in a cloud and highlight their limitations. After that, we design a simple interface for delegating an experiment directly from an IDE. Eventually, we discuss techniques that can mitigate the GPU shortage issue.
2. Talk #2: "Mastering LLMs in the Era of Evolving Trends" offers a deep dive into the dynamic world of Large Language Models (LLMs). We’ll start by exploring LLMOps, providing insights from the unique perspective of Weights & Biases. You’ll gain a comprehensive understanding of our strategies for staying ahead amidst the rapidly changing LLM landscape, and we’ll share our approach to enhancing our tools to keep pace with emerging trends. Additionally, we’ll shed light on how we cater to diverse LLM user personas, including LLM Creators, Fine-tuners, and Prompt Engineers, drawing from our extensive experience. Throughout the talk, we’ll unveil cutting-edge LLMOps capabilities designed to empower your mastery of LLMs in this evolving era.

About our speakers:

1. Artem Trofimov
   Artem has expertise in developing distributed systems for data science challenges, drawing from academic and industry backgrounds. He previously worked as a research engineer at JetBrains Research. Later, he transitioned to a major cloud provider, taking on the team lead role for their machine learning platform. Now, Artem has returned to JetBrains, where he oversees the integration of tools for ML engineers into IDEs.
2. Nicolas Remerscheid
   Nicolas, originally from Geneva, studied Electrical Engineering and later Data Engineering and Analytics at TU Munich. In his final years of study he focused on researching on Privacy-Preserving ML at the Imperial College in London, co-founded one of the largest student AI initiatives in Europe - [TUM.ai](http://tum.ai/) - and was part of the Center for Digital Technology Management. After gathering experience at appliedAI and the Swiss Space Force as an AI Engineer he is now working as ML engineer at Weights & Biases.

Looking forward to your RSVPs and to meeting you there!

Keep on hacking!🤩🤩🤩