13th NLP Meetup and first after Nvidia's GTC ;)

Dear NLP community,

We hope you are all doing well in these highly dynamic times of Large Language Models and NLP.
We would like to invite you to our 13th NLP meetup and second in 2023. This time, we are happy to be invited by Nvidia with two very interesting talks, a practical session and discussions. Nvidia will provide you with an overview of the recent progress in the Large Language Model (LLM) space from their perspective, outline tools that your organizations can use today to adapt to the new competitive landscape and discuss the impact those new capabilities will have on your business.

We want to thank Nvidia for hosting this evening at Nvidia's new location in the Eastern part of Munich that provides our NLP community another great meetup experience. 🚀

Important note: Please use this form by Nvidia to register in advance for the meetup. Without the registration you cannot enter the building. Hope for your understanding and thank you in advance!

Hope we all meet, learn and discuss 😊
Best Bernhard, Christoph, Kristian and Kun

=== Reasons to attend (by Nvidia) ===

• Meet people behind some of the LLM advancements: The event will feature speakers from NVIDIA that helped to shape the current field of LLMs. They will share their experiences and insights on the latest advancements in the field.
• Understand how this technology can affect your business model: As LLMs continue to grow in their capability they will reshape countless business models forcing businesses around the globe to rethink/redesign their products and services. Attending this event will give you a better understanding of the current state of LLMs and the direction in which the field is heading.
• Network with like-minded professionals: The meetup will provide a platform for attendees to connect with other professionals in the field of AI and LLMs. This will allow for valuable networking opportunities and the chance to share ideas and strategies.
• Gain practical knowledge: The event will not only focus on theoretical aspects of LLMs but also provide practical knowledge that attendees can apply in their own work. We will demonstrate a set of open tools that you can use to train, adapt, control and deploy large language models to production. We will show a demo walking you through the end-to-end process using NVIDIA NeMo Framework.

=== Agenda ===

17:45 - Doors open
18:10 - [Introduction] Welcome & Introduction
18:15 - [Presentation, incl. Q&A]:

• Topic: How the shift to LLM foundations models is impacting the market dynamics
• Markus Hacker, NVIDIA Regional Director Enterprise Business

18:45 - [Presentation & Discussion]:

• Topic: Rethinking your business in the wake of Large Language Model success
• Adam Henryk Grzywaczewski, NVIDIA Senior Deep Learning Data Scientist

19:45 - [Demonstration & Discussion]:

• Topic: NVIDIA AI Foundations – Developing and deploying your own LLM
• Adam Henryk Grzywaczewski, NVIDIA Senior Deep Learning Data Scientist

20:00 - [Networking] Get-together with sponsored food and drinks
21:00 - Doors closed latest

=== Speakers ===

Markus Hacker
NVIDIA Regional Director Enterprise Business DACH
Following a long and successful career within the ICT industry, Markus Hacker joined NVIDIA in 2019 as Enterprise Regional Director. He leads the Enterprise Sales Team in the German speaking areas of Europe – an important market given the level of technological leadership – to help customers achieve their goals in AI, Visualization and Virtualization.
After a successful electrical engineering apprenticeship, Markus worked as a technician in PC repair and went on to spend several years in technical procurement and in Microsoft’s Central European Data Center in Munich. Finally, he found his home in sales in the late 1990’s where he has since then enjoyed over 20 years of his career, holding various leadership positions over the last 13 years.

Adam Henryk Grzywaczewski
NVIDIA Senior Deep Learning Data Scientist
Adam Grzywaczewski is a senior deep learning data scientist at NVIDIA, where his primary responsibility is to support a wide range of customers in delivery of their deep learning solutions. Adam is an applied research scientist specializing in machine learning with a background in deep learning and system architecture. Previously, he was responsible for building up the UK government’s machine-learning capabilities while at Capgemini and worked in the Jaguar Land Rover Research Centre, where he was responsible for a variety of internal and external projects and contributed to the self-learning car portfolio.