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Important: Register on the event website is required for admission.

Welcome to the AI meetup in London. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

Speakers/Topics: Check the event website for speakers and topics. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

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 speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in London and 500K+ worldwide.

We’re excited to announce our upcoming meetup in collaboration with Datenna, a pioneering scale-up based in Eindhoven. This event promises to be a deep dive into the innovative use of data and technology, showcasing cutting-edge applications that are shaping the future of open-source intelligence. And all this brought to you by the CTO and Founder of Datenna; Edward Brinkmann. In addition, Shu and Remi are sharing what they learned from building a tool to annotate LLM outputs. Sounds cool and interesting right? Datenna is our host this time and will open the doors of their office on October 29th, see you then!

How Datenna built a digital twin of China using graphs and GenAI How do you create a detailed and reliable digital twin of one of the largest economies in the world? How do you ensure that the data being collected from open sources is trustworthy? How do you handle conflicting pieces of information, merge entities across data sources, and ensure every conclusion is explainable and traceable back to the source? These are some of the challenges Datenna tackles daily in its mission to provide the best open-source intelligence to governments worldwide for economic and national security purposes. Discover how Datenna leverages graph databases and GenAI technology to build an open-source intelligence engine that continuously collects information on over 100 million entities in China, mapping all these entities and their relationships. Learn how Datenna, a scale-up founded in Eindhoven, has used these novel technologies to gain a competitive edge globally and became a world leader in techno-economic intelligence on China.

What we've learnt from building a tool to annotate LLM outputs LLMs can take files, audio, and video as input and generate summaries, answer questions, and extract information. With the Gemini family of models capable of supporting up to 1 million tokens in their context window, users can feed a PDF of hundreds of pages into these models and output only the results they care about. However, the outputs may contain errors. In this talk, the presenters will share their learnings from building a tool that enables the manual annotation and evaluation of these models' outputs based on a collection of models chosen by the users. They find the comparison results interesting and would like to share them with the audience.

Program

• 17:00 – 18:00 🍕 Food
• 18:00 – 18:10 🎤 Welcome
• 18:10 – 19:00 🎤 Edward Brinkman: How Datenna built a digital twin of China using graphs and GenAI
• 19:00 – 19:15 ⏸️ Break
• 19:15 – 20:00 🎤 Shu Zhao & Remi Baar: What we've learnt from building a tool to annotate LLM outputs
• 20:00-21:00 🥤 Drinks

About: Edward Brinkmann As the CTO and co-founder of Datenna, Edward has guided the company through various stages of growth, transforming it from a technology start-up to a thriving scale-up. His first role as CTO was as founding engineer, implementing the first versions of the intelligence platform, and later as engineering manager and lead architect whilst expanding the development team. With a background in software engineering, data engineering, and systems architecture, Edward has a broad interest in technology, especially in translating business needs into the most suitable technical solutions. Before co-founding Datenna, Edward enjoyed working on end-to-end projects in the capacity of lead developer and full-stack engineer, gaining experience across various business domains, use cases, and technologies.

About: Shu Zhao Shu has an MSc. in Artificial Intelligence, and part of her thesis was published in ECCV 2022 about artistic pose analysis based on computer vision. She also participated in AI Song Contest 2021 by producing one song by training an RNN-based language model.

Before she worked for Xebia data, Shu worked in various roles from large banks to smaller fintechs to e-commerce where she accumulated a wide span of technical skills to come to a sustainable solution.

About Remi Baar Fifteen years ago, at just 17, Remi launched his own software development company, quickly focusing on the exciting fields of artificial intelligence and data science. Since then, he has held various data science roles across a diverse range of organizations—from startups to multinational corporations, and from government agencies to airlines. His unique blend of software engineering expertise and data science has garnered him recognition and appreciation in each of these positions.

Currently, Remi is a valued member of the Xebia team, collaborating with fellow experts to enhance their collective skills and push the limits of AI. With a passion for knowledge sharing, Remi eagerly shares his latest insights.

** Important RSVP here (Due to room capacity and building security, you must pre-register at the link for admission.)

Description: Welcome to our in-person AI meetup in New York. Join us for deep dive tech talks on AI, GenAI, LLMs and ML, hands-on workshops, food/drink, networking with speakers and fellow developers.

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

Tech Talk: Unleashing Data Magic: Vector Databases and RAG Demystified Speaker: Art Anderson (Aerospike) Abstract: Dive into the world of vector databases and Retrieval Augmented Generation (RAG) as we explore how we built a practical application and the challenges we faced. Discover how semantic search can enrich data, enabling recommendation engines, fraud detection, and more. Learn how these technologies can fit into your current applications and data, sparking new ideas for innovation.

Tech Talk: Step-by-Step RAG 101 Speaker: Tim Spann (Zilliz) Abstract: In this tutorial, we describe and show every step in building your own local RAG application using Milvus, LangChain, Ollama and Llama 3.x. At the end of the talk, you will have a working RAG application. We will also cover tips and techniques to upgrade to more advanced RAG apps.

Tech Talk: Generative AI Orchestration: Unlocking Creative Potential Speaker: Ram Durbha (Orkes) Abstract: Managing complex workflows in autonomous systems poses significant challenges as they scale. This talk explores strategies for optimizing agent-based architectures, where multiple agents interact and adapt in dynamic environments. Key topics include: 1) Distributed decision-making and coordination; 2) Bottlenecks; 3) Adaptive workflow reconfiguration and resilience; and 4) Real-world applications.

Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in New York or 400K+ worldwide.

Community on Slack/Discord

• Event chat: chat and connect with speakers and attendees
• Sharing blogs, events, job openings, projects collaborations

** RSVP here (Due to room capacity and venue security, it is required to pre-register at the link for admission)

Welcome to the monthly AI meetup in Berlin. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, networking with speakers and fellow developers.

Agenda: * 6:00pm\~7:00pm: Checkin 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.engagement.

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

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 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.

Community on Slack/Discord

• Event chat: chat and connect with speakers and attendees
• Sharing blogs, events, job openings, projects collaborations *