*** Registration Instructions **** ** RSVP: https://www.aicamp.ai/event/eventdetails/W2023111510 *******

Description: I LOVE AI (a series of events for AI developers) is coming to London! Are you building Generative AI agents that will use in-context data with LLMs? Join AI developers, practitioners, and strategists to unlock the power of Generative AI. We will explore how to: - Create Generative AI apps with the accuracy and relevance you need - Make GenAI enterprise-ready by conquering major obstacles - Build on the most powerful Vector Database - Implement the only vector database capable of synchronous\, low-latency writes and reads without performance degradation - Harness the potential of your data\, with the industry’s most advanced vector database\, to accelerate your AI journey

Agenda: * 6:00pm\~6:30pm: Checkin, Food/Drink and networking * 6:30pm\~8:00pm: Tech talks * 8:30pm: Q&A and Open discussion

Tech Talk 1: Lessons Learned Building a GenAI Powered App Speaker: Marc Cohen @Google Cloud Abstract: Everyone is excited about AI and justifiably so, but can it help us build better apps? This session will focus on a case study: a GenAI powered interactive trivia quiz app running in the Cloud. We will explore the challenges we faced while building the app and how GenAI proved to be a game changer. Join me for a fun and educational session featuring a live demo with audience participation, and some valuable lessons learned.

Tech Talk 2: Generative AI with Azure Machine Learning Service Speaker: Anil Sener @Microsoft Abstract: Learn how Azure Machine Learning AI Studio became central to develop, assess, deploy and monitor intelligent agents based on foundation models. Explore its use with OpenAI, open source and partner models and the options to integrate it with databases and knowledge bases.

Tech Talk 3: Building a Petabyte-Scale Vector Store: Powering Future AGI Speaker: Cedric Lunven @Datastax Abstract: A laptop proof of concept won’t cut it for this impending era of generative AI. Let’s dig into the mechanics of building and using a petabyte-scale vector store and the future of handling data in generative AI models. This talk will focus on the work in the Apache Cassandra® project to develop a vector store capable of handling petabytes of data, discussing why this capacity is critical for future AI applications. I will also connect how this pertains to the exciting new generation of AI technologies like Improved Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Forward-Looking Active Retrieval Augmented Generation (FLARE) that all contribute to the growing need for such scalable solutions. Finally, we’ll discuss the importance of planning for future scalability and how to effectively manage AI agents in this new age of data.

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

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