Welcome to the monthly in-person AI meetup in Berlin, in collaboration with Axel Springer. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

Agenda:
* 6:00pm~7:00pm: Checkin, Food/drink and Networking
* 7:00pm~9:00pm: Tech talks and Q&A
* 9:00pm: Open discussion and Mixer

Tech Talk: One Year of Hey_: From Chatbot to Real-Time Answering Machine
Speaker: Till Kolter (AS Digital)
Abstract: In this talk, we’ll explore the journey of "Hey_", Germany's largest chatbot, as it celebrates its first go-live anniversary. While Hey_ has mostly gained positive feedback, we’ve had our share of surprises—like the time a bug caused it to tell users to die. Although it wasn't funny at the time, it eventually became a source of great laughter once we understood what went wrong.
We’ll dive into how our innovative content management system has empowered editors to create unique, LLM-powered experiences beyond basic chatbot interactions—covering everything from interactive guidebooks to real-time information powered by Retrieval-Augmentation Generation (RAG). Along the way, we’ve transformed Hey_ into a reliable answering machine backed by journalistic content and web sources, while still facing the challenge of driving organic user engagement.

Tech Talk: Evaluating a real world LLM application
Speaker: Tanuj Jain (Axel Springer NMT)
Abstract: Evaluating LLM-based applications in real-world scenarios is challenging, not only due to the lack of a definitive ground truth but also because it's often hard to choose from among a myriad evaluation methodologies and metrics. These complexities are often compounded by a lack of awareness regarding the critical importance of rigorous evaluation, particularly among those unfamiliar with AI development process. This talk will showcase a collaborative evaluation approach, where journalists, AI researchers, and developers collaborate to create a reliable evaluation strategy for a real world LLM-based chatbot used by millions of users daily. The application under evaluation uses state-of-the-art LLMs and employs a design that resembles a modern day LLM app stack involving RAG, caching, etc. making the evaluation methodology applicable for a wide variety of LLM based applications in the wild.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue:
Axel Springer Neubau Zimmerstraße 50, 10117 Berlin

Sponsors:
We are actively seeking sponsors to support AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 10,000+ AI developers in Berlin or 400K+ worldwide.

AICamp Community on Slack/Discord
- Event chat: chat and connect with speakers and attendees
- Sharing blogs, events, job openings, projects collaborations
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