AI Meetup (in-person): RAG, RLHF and Vector Search

Pre-registration is required, Complete your RSVP here:
https://www.aicamp.ai/event/eventdetails/W2023100410

Welcome to our in-person AI meetup, in collaboration with Deepset. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers & peers developers

Description:
This meet-up is a unique opportunity to connect with fellow AI enthusiasts, industry practitioners, and researchers in a dynamic and interactive setting. Whether you are a seasoned AI professional or just curious about the latest advancements in NLP, LLMs, RAG, RLHF and Vector Search, this meet-up is for you! Join us for an insightful and thought-provoking discussion on the forefront of AI innovation.

Agenda :
* 6:30pm~7:00pm: Checkin, Food/Snacks/Drink and networking
* 7:00pm~7:10pm: Welcome/community update
* 7:10pm~8:30pm: Tech talks
* 8:30pm: Open discussion, Q&A & Mixer

Tech Talk 1: Notion Meets RAG: A Search Pipeline
Speaker: Bogdan Kostić @Deepset
Abstract: In this talk, Bogdan will demonstrate how to integrate Notion into Haystack. You will learn how to prextract pages from Notion and index them into your Document Store. This will allow you to use your Notion content as a source of information for generative retrieval-augmented search pipelines. Additionally, Bogdan will guide you on deploying your Notion search pipeline in a Streamlit application using Haystack’s built-in REST API.

Tech Talk 2:RLHF via Direct Policy Optimization
Speaker: Kashif Rasul, Open source ML research scientist
Abstract: In this talk I will go over the Direct Policy Optimization approach of RLHF which is a new method from Stanford researchers to learn to steer LLMs from human preference data without the need to learn an explicit reward model. I hope to go over the approach and show how to use it on your own data via the implementation in Hugging Face’s TRL library.

Tech Talk 3: Enter the Brave New World of GenAI with Vector Search
Speaker: Mary Grygleski @DataStax
Abstract: We will go over the history and evolution of AI and ML, then look at how it has evolved to where it is today. We will touch upon as many new concepts that have popped up in the last 6-9 months, which include: Generative AI (GenAI), ChatGPT, Large Language Models (LLMs), Natural Language Processing (NLP), Vector DB, and the growing importance of Vector Search. We will also point out the new operational concerns when it comes to managing the life-cycle of a machine learning environment. We will then look at a demo on how Vector Search is being done behind the scenes. We will discuss the benefits of this new wave of technology as well as the challenges that it brings to the industry and the marketplace.

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• Speakers: If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: https://forms.gle/JkMt91CZRtoJBSFUA
• Sponsors: We are actively seeking sponsors to support our community. Sponsors will receive speaking opportunities at our meetups, sponsor recognition, and post-event emails to our vast membership base of 6k+ in Berlin or 250K+ developers in global.
• Community Manager: Additionally, we are looking for passionate community managers and volunteers who are enthusiastic about nurturing tech communities. Join us in planning and hosting events, and let's collaborate on developing the local AI/ML developer community.