Search – talk-data.com

Title & Speakers	Event
Mastering GraphRAG: Agents & Knowledge Graphs 2024-10-29 · 18:00 Join us together with Zilliz for an exciting meetup where we dive into the power of graphs and vectors for Generative AI! Come on a journey through the world of knowledge graphs in GenAI, revealing their pivotal role in AI models, vector indexes, and knowledge representation. Learn how to build a GraphRAG Agent using Neo4j and Milvus, combining graph databases and vector search for intelligent, accurate query responses! Whether you're new or experienced, this meetup will expand your understanding of how graphs shape AI innovation. Session 1: Building a GraphRAG Agent With Neo4j and Milvus - Stephen Batifol\, Developer Advocate at Zilliz In this talk we will show how to build a GraphRAG Agent with Neo4j and Milvus. We will show how an agent can combine the power of graph databases and vector search to provide accurate and relevant answers to user queries. We will also show how an Agent can use routing, fallback mechanisms, and self-correction.We will use LangGraph, Llama 3.1 8B with Ollama and GPT-4o. Of course, there will be a live demo of how everything works together. Stephen previously worked as a Machine Learning Engineer at Wolt, where he created and worked on the ML Platform, and previously as a Data Scientist at Brevo. Stephen studied Computer Science and Artificial Intelligence. He is a founding member of the MLOps.community Berlin group, where he organizes Meetups and hackathons. He enjoys boxing and surfing. Session 2: A Field Guide to Knowledge Graphs used in GenAI - Andreas Kolleger, Lead for GenAI Innovation at Neo4j Join us for an exhilarating journey into the world of Knowledge Graphs within Generative AI! Graphs are the hidden backbone of GenAI applications, surfacing everywhere from the AI models themselves to intricate vector indexes and, of course, as fundamental tools for knowledge representation. We will uncover graphs' pervasive presence, delve into their diverse forms, and reveal how they weave together to form a vast, interconnected "graph of graphs." Whether you're a seasoned professional or just beginning your adventure in GenAI, this session promises to deepen your understanding and spark new insights into the critical role of knowledge graphs. Andreas is a technological humanist. Starting at NASA, he designed systems from scratch to support science missions. Then in Zambia, he built medical informatics systems that complement technology with social good. Now with Neo4j, he is democratizing graph databases which elevate understanding by emphasizing relationships.	Mastering GraphRAG: Agents & Knowledge Graphs
PyData Berlin 2024 August Meetup 2024-08-14 · 16:00 Welcome to the PyData Berlin August meetup! Please provide your first and last name, current role and organization name for the registration because this is required for the venue's entry policy. If you cannot attend, please cancel your spot so others are able to join as the space is limited. Host: Google Cloud is excited to welcome you for this month's version of PyData. Agenda: 6pm - 7pm: Arrival, networking and food & drinks (BBQ) 7pm - 9pm: Talks (and lightning talks) 9pm - 10pm: Drinks and networking ************************************************************************ The Lineup for the evening Talk 1: Multi-agent Systems with Mistral AI, Milvus and Llama-agents Abstract: Agentic systems are on the rise, helping developers create intelligent, autonomous systems. LLMs are becoming more and more capable of following diverse sets of instructions, making them ideal for managing these agents. This advancement opens up numerous possibilities for handling complex tasks with minimal human intervention in so many areas. In this talk, we will see how to build agents using llama-agents. We’ll also explore how combining different LLMs can enable various actions. For simpler tasks, we'll use Mistral Nemo, a smaller and more cost-effective model, and Mistral Large for orchestrating different agents. Speaker: Stephen Batifol Stephen is a Developer Advocate at Zilliz. He previously worked as a Machine Learning Engineer at Wolt, where he created and worked on the ML Platform, and previously as a Data Scientist at Brevo. Stephen studied Computer Science and Artificial Intelligence. He is a founding member of the MLOps.community Berlin group, where he organizes Meetups and hackathons. He enjoys boxing and surfing. Talk 2: Bayes by Hand Abstract: Discover how powerful Bayesian modelling can be with a pen and paper, or even in your head! Or - Bayes, the good bits! The focus is on Bayes as a thinking tool, rather than on code and algorithms. Think eliciting and updating priors, updating estimates rigorously with incoming data, etc. This approach reacts to the need for more disciplined estimation in business contexts, while wanting to include non-stats and non-dev stakeholders in the process. Bayes By Hand can be used for sketching out baselines, cross-disciplinary collaborations, improved decision making, and more. Let's get back to the blackboard my friends, and do some modelling by hand! Speaker: Laura Summers Laura is a very technical designer™️. She's the founder of Debias AI, (debias.ai) and the human behind Sweet Summer Child Score (summerchild.dev), Ethics Litmus Tests (ethical-litmus.site), fairXiv (fairxiv.org), the Melbourne Fair ML reading group (groups.io/g/fair-ml). Laura is passionate about feminism, digital rights and designing for privacy. She speaks, writes and runs workshops at the intersection of design and technology. Lightning talks There will be slots for 2-3 Lightning Talks (3-5 Minutes for each). Kindly let us know if you would like to present something at the start of the meetup :) * NumFOCUS Code of Conduct THE SHORT VERSION Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for NumFOCUS. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery are not appropriate. NumFOCUS is dedicated to providing a harassment-free community for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of community members in any form. Thank you for helping make this a welcoming, friendly community for all. If you haven't yet, please read the detailed version here: https://numfocus.org/code-of-conduct ***	PyData Berlin 2024 August Meetup
Event MLOps.community Berlin - Summer Edition ☀️☀️ 2024-07-25
Function Calling: Teaching LLMs to use tools and extract structured data 2024-07-25 · 20:15 Katja Wittfoth – Machine Learning Engineer @ San Francisco (visiting) Function Calling: Teaching LLMs to use tools and extract structured data LLM
Challenges & lessons learned from implementing RAG systems 2024-07-25 · 19:45 Joanna Stoffregen – Co-Founder and Head of Product @ Labsbit.ai Retrieval-Augmented Generation (RAG) has become a popular method to address this issue, augmenting LLMs with an external knowledge base. However, implementing RAG introduces distinct challenges. In this presentation, Joanna will share practical insights into the challenges encountered while implementing RAG systems, alongside strategies for overcoming them. You'll be equipped with the tools and methodologies needed to navigate these challenges successfully. LLM RAG
Taming AI, or how we build the alignment pipeline 2024-07-25 · 19:00 In this presentation, we will explore into the key aspects of aligning Large Language Models (LLMs) and explore how to set up the necessary infrastructure to maintain a versatile alignment pipeline. Specifically, we will cover: Incorporating LLMs into the data collection for supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to maximize efficiency. Techniques for instilling desired behaviors in LLMs with the use of prompt tuning. A cutting-edge workflow management approach, and how it facilitates rapid prototyping of highly-intensive distributed training procedures. This session is tailored for machine learning engineers who are deploying their LLMs and seeking to improve their models. AI/ML Data Collection LLM

Event MLOps.community Berlin 2024-04-09
Lightning Talk: Shirin Khosravi Jam 2024-04-09 · 20:25 Shirin Khosravi Jam – Senior Data Scientist @ Verivox GmbH Lightning talk by Shirin Khosravi Jam, Senior Data Scientist at Verivox GmbH.
Lightning Talk: Stephen Batifol 2024-04-09 · 20:20 Stephen Batifol – Machine Learning Engineer @ Wolt Lightning talk by Stephen Batifol, Developer Advocate at Zilliz.
How Full Stack Machine Learning and AI are Transforming Biology 2024-04-09 · 19:45 Siegfried Gessulat – Co-founder and head of machine learning @ MSAID , Hugo Bowne-Anderson – Head of Developer Relations @ Outerbounds Discussion on how full-stack machine learning and AI are transforming biology. Speakers Siegfried Gessulat (MSAID) and Hugo Bowne-Anderson (Outerbounds). msaid full stack ml ai in biology
Auto-Governance in ML Systems 2024-04-09 · 19:00 Sebastian Folz – Machine Learning Engineer @ DB , Jürgen Stary – Solution Architect for MLOps @ DB Systel Discussion on Auto-Governance in ML Systems with speakers Jürgen Stary and Sebastian Folz. MLOps ml infrastructure

Event MLOps.community Berlin + Girls in Tech Germany Meetup 2023-12-07
Lightning Talk: Stephen Batifol 2023-12-07 · 20:30 Stephen Batifol – Machine Learning Engineer @ Wolt
Lightning Talk: Sonam Pankaj 2023-12-07 · 20:25 Sonam Pankaj – Developer Advocate @ QDrant
Lightning Talk: Marina Zemskova 2023-12-07 · 20:20 Marina Zemskova – Senior Data Scientist @ GetYourGuide
Panel discussion: Diversity in Machine Learning - Challenges and Opportunities 2023-12-07 · 19:30 Demetrios Brinkmann – Chief Vibe Officer @ MLOps Community , Asma Zgolli – Machine Learning Engineer , Verena Weber – ML Scientist, Generative AI strategy , Janina J. Renk – Machine Learning Engineer in Medical AI @ Medical AI Analytics & Information GmbH Panel discussion on the current state of gender diversity in the field of machine learning. AI/ML
Making protein biomaterials with AI 2023-12-07 · 19:00 Pierre Salvy – Head of Engineering @ Cambrium , Lucile Bonnin – Head of R&D @ Cambrium Main talk by Pierre Salvy and Lucile Bonnin ai computational biology biomaterials

Event MLOps.community Berlin Meetup 05 2023-09-14
Productionizing ML in a Scale-up Setting 2023-09-14 · 20:25 Nick Jetten – Co-founder/CEO @ Enjins Productionizing ML in a Scale-up Setting AI/ML
Branch-based Model Experimentation 2023-09-14 · 20:20 Martin Jewell – MLOps Engineer @ GetYourGuide Branch-based Model Experimentation
Craft, Scale, Win: Your ML Platform Journey! 2023-09-14 · 19:50 Andrei Vishniakov – Machine Learning Engineer @ ZenML Many companies at some point have a need to have an ML Platform to accelerate ML adoption. How can you get one and make sure your team can maintain it in the long run? This talk will give you a practical guide on how to approach ML Platform building: What options do we have, and what are the drawbacks? How do you ensure the stability of your ML Platform in a world where new MLOps tools pop up every week and make your ML Platform usable by Data Scientists? AI/ML MLOps
GPU: 'Greatly Problematic Units'? - Tales from the Trenches of Resource Allocation 2023-09-14 · 19:00 Ekin Karabulut – Data Scientist @ Run:ai In the realm of AI, GPUs play a crucial role in data science projects. Yet, squeezing the most out of them is a challenge, particularly for data scientists with limited resources and time. This talk explores the often-overlooked world of GPU orchestration and allocation with a dash of humour. We’ll address common mistakes like underutilization, static assignments, and resource sharing pitfalls. Introducing Genv, an open-source tool, we’ll transform these challenges into opportunities for seamless and efficient AI workflows. AI/ML Data Science

Event MLOps.community Berlin 04: Pre-event Women+ In Data and AI Festival 2023-06-29
The Importance of Failure, The Culture, The Mindset, The Systems Architecture and Why Crazy Monkeys Are Our Best Friends 2023-06-29 · 20:25
LLMs for Content Filtering 2023-06-29 · 20:20 LLM

talk-data.com

People (52 results)

Companies (2 results)

Activities & events