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Pre-registration is required: https://www.aicamp.ai/event/eventdetails/W2023121414 ***

As the year winds down and the holiday spirits ramp up, we invite you to the most electrifying AI meetup (end-of-year edition). Instead of our usual scheduled talks, we will throw the most exciting holiday bash for people who build AI!

Join AI developers, ML engineers, Data scientists and practitioners to celebrate all your hard work this year, with tech talks, food, and drinks.

Agenda: * 5:00pm\~5:45pm: Checkin, Food/drink and networking * 5:45pm\~6:00pm: Welcome/community update * 6:00pm\~7:30pm: Tech talks, Q&A and Community showcase * 7:30pm\~8:00pm: Open discussion and Mixer

Tech Talk 1: RAG in the new Azure AI Studio Speaker: Elijah Straight @Microsoft Abstract: Intro on RAG and demo how RAG functions in the new Azure AI Studio.

Tech Talk 2: The next level of RAG applications - building multimodal applications with Vector Databases Speaker: Byron Voorbach @Weaviate Abstract: In this talk, we are going to explore how vector databases like Weaviate can be used to build the next level of RAG applications. Based on examples we are looking at the possibilities of RAG architectures that can handle multimodal context like images, videos and much more and how vector databases work in such a setting

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

Startup Showcase: We have 5\~10 demo desks available for the community showcases and \~5 minutes quick demo on the stage. You are invited to apply here Community Showcase

*** RSVP: https://www.aicamp.ai/event/eventdetails/W2023121210

As the year winds down and the holiday spirits ramp up, we invite you to the most electrifying AI meetup (end-of-year edition). Instead of our usual scheduled talks, we will throwing the most exciting holiday bash for people who build AI!

Join AI developers, ML engineers, Data scientists and practitioners to celebrate all your hard work this year.

Here is what you can expect:

• Tech Talks: Immerse yourself in enlightening tech talks, exploring the latest advancements and trends in the dynamic field of AI, GenAI, LLMs. If you have a keen interest in speaking, we invite you to submit topics for consideration: Submit Topics
• AI Startup Showcase: Experience firsthand the cutting-edge innovations that AI startups bring to the table. Witness live demos showcasing groundbreaking solutions that are shaping the future.
• Networking / Happy Hour Mixer: Unwind and celebrate the successes of the year in a relaxed happy hour setting. Enjoy drinks, nibbles, and continue networking in a festive atmosphere.
• Holiday Gifts: 'Tis the season of giving! Enjoy the festive spirit with surprises and holiday gifts to add an extra dash of joy to your AI journey.

Tech Talk: Why large language models are such dumb geniuses (And how better search can help.) Speaker: JP Hwang @Weaviate Abstract: In this session, we’ll dive into the world of large language models (LLMs) like GPT-4 and Llama. These AI tools are superhuman readers and writers, but also often produce outputs that are divorced from reality. So, how do we channel these abilities the right way, to help them act like proper geniuses that they are? The current state-of-the-art solution is Retrieval Augmented Generation (RAG), which combines search and retrieval with LLMs. You will learn what RAG is, and some best practices to get it working well. Whether you’re a tech enthusiast, a professional in the field, or just curious about AI, this talk will give you a fresh perspective on why search is making a big comeback in the world of artificial intelligence.

Tech Talk: How "Fill-in-the-middle" code generation in LLMs works Speaker: Tanay Mehta, Kaggle Grandmaster Abstract: Generating code in Large Language Models is not the same as left-to-right generation of the text. In this session, we will explore how LLMs are pre-trained to generate code with no architecture changes but just a simple dataset transformation! We will cover how traditional LLMs are trained and how this technique is different along with a practical coding example on how to use this in your own LLM pre-training.

Topics/Speakers: Stay tuned as we are updating speakers and schedules.

Startup Showcase: We have 5\~10 demo desks available for the community showcases and \~5 minutes quick demo on the stage. We will have judges and attendees vote for projects, with 3 amazing awards (best of innovation, best of technology, popular vote). You are invited to apply here Community Showcase

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsor. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 10,000+ local or 300K+ developers worldwide.

Community on Slack - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (browse/search and join #london channel)

*** RSVP: https://www.aicamp.ai/event/eventdetails/W2023120609

As the year winds down and the holiday spirits ramp up, we invite you to the most electrifying AI meetup (end-of-year edition). Instead of our usual scheduled talks, we will throw the most exciting holiday bash for people who build AI!

Join AI developers, ML engineers, Data scientists and practitioners to celebrate all your hard work this year.

Agenda:

• 6:00PM: Checkin, Food, Networking
• 6:30PM: Welcome/community update
• 6:45PM: Tech talks, Q&A
• 8:00PM: AI Community showcase, Happy Hour networking

Tech Talk: Bring your AI application from Prototype to Production Speaker: Philip Vollet, Edward Schmuhl @Weaviate Abstract: In this talk, we will give you insights on how to build ai-native applications with the power of LLMs at scale. Based on a real-life example we will cover: - Core concepts and aspects of (long context) Retrieval Augmented Generation - The role of vector databases in RAG - Easy integration with leading players in the AI open-source ecosystem - Choosing various deployment methods - What to keep in mind for production-ready applications (e.g scalability\, multi-tenancy and more)

Tech Talk: Building flexible and production-grade RAG applications Speaker: Mathis Lucka @Deepset Abstract: Learn how Haystack lets you take matters into your own hands when implementing RAG applications. You‘ll walk away with a better understanding of version 2.0 of Haystack and how it streamlines the LLM application building experience.

Tech Talk: Machine Learning Project Pitfalls Speaker: Andrey Holz @EPAM Systems Abstract: This presentation addresses the multifaceted challenges of machine learning (ML) projects, with a focus on striking a balance between technical expertise and strategic business alignment.

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

Startup Showcase: We have 5\~10 demo desks available for the community showcases and \~5 minutes quick demo on the stage. We will have judges and attendees vote for projects, with 3 amazing awards (best of innovation, best of technology, popular vote). You are invited to apply here Community Showcase

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 have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 8,000+ local or 300K+ developers worldwide.

Community on Slack - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (browse/search and join #berlin channel)