PyTorch isn't just another framework; it's the de-facto standard for Deep Learning. Our community is dedicated to bringing together PyTorch users in London and those with a profound interest in ML and AI. This is your platform to share experiences, network, seek advice, and initiate collaborations.

This event is packed with opportunities to learn, connect, and exchange ideas and knowledge with experts from both Revolut and the data industry.

Join us for exclusive talks from Revolut speakers and our partner, PyTorch, and dive into the world of Data Science. Here’s what you can look forward to at the meet-up.

We'll have 3 amazing speakers at the event: Vadim Andronov, Deep Learning Engineer (Computer Vision) at Revolut Nikolay Falaleev, Head of AI at Sportlight Technology Vincent Moens, Applied Machine Learning Research Scientist at Meta Event Details: Date: Thursday, 21st November 2024 Time: 18:00 (GMT+4) Where: Revolut HQ Office Agenda:

• 17:30–18:00 \| Gathering
• 18:00–18:15 \| Welcome & Intro
• 18:15–18:55 \| Presentation: "End-to-end Visual Document Understanding" by Vadim Andronov + Q&A session
• 18:55–19:00 \| Refreshment Break
• 19:00–19:40 \| Presentation: "Optimising Video Pipelines for Neural Network Training with PyTorch" by Nikolay Falaleev + Q&A session
• 19:40–19:50 \| Refreshment Break
• 19:50–20:30 \| Presentation: "Breaking Free from CPU Bottlenecks: Unlocking PyTorch's Potential for Tiny Models" by Vincent Moens + Q&A session
• 20:30–21:30 \| Networking

Registration:

Fill out this form to receive your exclusive invitation!

Please note that this is a private event, and you'll need an invitation to attend. Since spots are limited. You’ll receive your invitation by email 3 days before the event. If the event is fully booked, you will be placed on a waiting list and notified if a spot becomes available.

Important: Only those who have submitted the registration form will be considered for an invitation. For security purposes, only invited guests on the list will be granted access to the premises; anyone not on the list will not be allowed entry.

** 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.

Tech Talk: Using Generative AI and Diffusers with Cloudera Machine Learning (CML) and Posit Speaker: Kenton Davis (Cloudera), Rika Gorn (Posit) Abstract: In this session, we will explore the architecture of Diffusers models and discuss components such as VAE and UNet. An example will be presented of how to combine text-to-image and image-to-image into one data pipeline with the Cloudera Data Platform (CDP). Specific emphasis will be placed on using ControlNet, PyTorch, and metadata persistence within CDP for editing images.

Tech Talk: Next-Gen AI for Developers Speaker: Allen Firstenberg (Objective) Abstract: In this session, we'll learn how developers of all skill levels can use the Gemini API to build cutting-edge AI applications, regardless of programming language. Discover how to leverage Gemini's unique features for responsible AI, Google Search integration, custom data grounding, and more and the benefits and trade-offs for each model.

Tech Talk: Testing LLMs in web applications Speaker: Haldun Anil (Braze) Abstract: In this talk I will go over how I think about testing applications that integrate LLMs. I will go over what the challenges of writing such applications are and go over a few tools that are out there to overcome these challenges.

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 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 350K+ worldwide.

Community on Slack/Discord

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

This is a place for an in-person meeting in Chilworth. Check out the other one for a virtual meetup on MS Teams.

!!!!! ATTENTION Since September, we've been having meetups at Spectrum IT's office - Gamma House, Enterprise Rd, Chilworth, Southampton SO16 7NS https://maps.app.goo.gl/66tL8HfgFnoiQEh66

Agenda

18:00: Welcome and Intros Tori Tompkins - Beginner's Guide to Large Language Models (LLMs)

pizza/networking Raffle

Tori Tompkins - Beginner's Guide to Large Language Models (LLMs) You've probably noticed a big change in the data world lately — everybody's buzzing about Generative AI and Large Language Models (LLMs). This session will explore everything you need to know about LLMs and Generative AI. Starting with the basics, we will cover how they actually work and how far they have come. Delving deeper, we'll discuss the capabilities and limitations of LLMs, providing insight into what they can and cannot achieve as well as address the ethical considerations and potential risks associated with their usage. We will end with use cases, a demo and what it takes to actually productise a LLM workflow.

Tori Tompkins Senior Data Science Consultant at Advancing Analytics Tori is a Senior Data Science Consultant at Advancing Analytics who has worked on a variety of machine learning and data science projects but mostly with Azure technologies, Databricks, MLFlow, Scikit-learn, PyTorch and NetworkX. She is a regular presenter of YouTube series Data Science Moments and founder of Girls Code Too UK.

*** A massive thanks to our sponsor Spectrum IT. Without them, we could not host this event for free. Spectrum IT kindly provided funding for the room, pizza and a £20 Amazon Voucher for in-person attendees. ***

It is time for another edition of the PyData Eindhoven meetup. Join us on the 5th of September at Vanderlande for an evening of technical talks for technical people. We are organising this event around the theme: ML Automation in the logistics domain.

17:30 - Doors Open 18:00 - Welcome 18:05 - Welcome from Vanderlande 18:10 - Secure MLOps with MLFlow simplifying integration tests at NS by Luuk van der Velden (Codebeez) 18:40 - Dinner 19:15 - Practical use of MLOps tools for automated visual inspection by Thomas Woudsma (Prodrive Technologies) 19:45 - Collaborative picking guided by Deep Reinforcement Learning by Kasper Hendriks (Vanderlande) and Igor Smit (TU/e) 20:15 - Wrap/up20:20 - Networking Drinks --- Title: Secure MLOps with MLFlow simplifying integration tests at NS Description: Cloud security teams want us to duplicate our resources across subscriptions and environments for security and privacy reasons. Data science applications struggle to be tested in the absence of real-world production data. At NS we performed integration tests on non-production data, but this broke down often and it was costly to maintain two separate data lakes (staging, production). Here I present our open source MLFlow client (Python) that allowed us to reduce the complexity of our test setup and reduce maintenance costs. Presenter: Luuk van der Velden Company: https://codebeez.nl LinkedIn: https://www.linkedin.com/in/ljjvandervelden/ --- Title: Practical use of MLOps tools for automated visual inspection Description: Using deep learning to solve many real-world problems is becoming more and more ubiquitous. Especially for applications using image data, models created with TensorFlow or PyTorch achieve state-of-the-art performance. The next challenge is to keep these models at peak performance in production scenarios. Like with DevOps for software development, MLOps practices like data engineering, model engineering, and model serving and monitoring have been defined to streamline ML applications.

I this talk we will look at the application automated visual inspection in the electronics manufacturing facilities of Prodrive Technologies. Some of the latest model architectures are shown together with MLOps tools like MLflow (experiment tracking and model registration) and Seldon Core (model deployment and serving) including some examples in Python to give some technical insight into how these tools can be used. Presenter: Thomas Woudsma Company: https://prodrive-technologies.com LinkedIn: https://www.linkedin.com/in/thomaswoudsma/ --- Title: Collaborative picking guided by Deep Reinforcement Learning Description: Collaborative case picking is Vanderlande's next step in improving picking efficiency in warehousing. This is achieved by leveraging the collaboration between human pickers and autonomous vehicles. However, the complexity and inherited uncertainty of warehouse operations make orchestrating this collaboration challenging for existing warehouse management software. In this talk, we will look at how we can model collaborative case picking effectively using Python and showcase how this enables us to use DRL to improve over traditional optimization approaches. Presenter: Kasper Hendriks and Igor Smit. Company: Vanderlande LinkedIn: https://www.linkedin.com/in/kasper-hendriks/ & https://www.linkedin.com/in/igor-smit/

--- Attendee profile: * People who want to learn about Python, Julia, R in the context of Data * Interested in seeing how others use Python for solving real problems * Interested in being part of the Python Community in Eindhoven * No Recruiters * No Sales * Only people who speak Data

TIMESERIES #FORECASTING #LLMS #LANGCHAIN

In person in Heidelberg and live on PyData.TV on YouTube

Agenda

18:00 Doors open

18:30 Welcome

18:45 Beyond Toy Datasets: Timeseries Forecasting for Real Business Problems - Robert Haase (AI Scientist @ paretos)

19:15 Break: Networking with snacks and beverages

20:00 How to Leverage the Full Potential of LLMs for Your Business with Langchain - Leon Ruddat (AI Research Specialist @ SNOCKS)

20:30 Lightning Talks

20:45 Networking with snacks and beverages

21:30 End

Lightning Talks

Join us by contributing a five-minute lightning talk!

Fill out this form.

How to sign up

It's important for us to make this meet up happen in a responsible way. We have limited seats available only.

How to join remotely

Join the live stream on YouTube.

Q&A

Ask via Slido

This event will be in English.

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About this meetup:

Talk #1

Robert Haase (AI Scientist @ paretos)

Beyond Toy Datasets: Timeseries Forecasting for Real Business Problems - Common Pitfalls and (Some) Solutions

Real-life timeseries datasets e.g. from retailer or logistic companies often come with high complexity such as a high level of sparsity and heterogenity as well as most of the times it is highly imbalanced and driven by external factors. In this talk Robert will give an overview of what are the common pitfalls when working with real-life data in a timeseries context and provide a set of possible solutions to turn these projects into a success-story.

Robert earned both his Bachelor's and Master's degrees in Physics from the University of Heidelberg, specializing in Condensed Matter Physics and Computational Physics. During his Master's thesis in 2020, he advanced existing NLP Transformer architectures for timeseries applications. This involved Robert working extensively with uncertainty quantifications and normalizing flows. Since the beginning of 2021, he has been employed at Paretos, where the primary focus of his work lies in Timeseries Forecasting, specifically demand forecasting. Robert has a keen interest in combining traditional statistical methods with deep learning techniques.

Talk #2

Leon Ruddat (AI Research Specialist @ SNOCKS)

How to Leverage the Full Potential of LLMs for Your Business with Langchain

In this talk, Leon will introduce Langchain, a framework for developing applications powered by language models. He'll explore how to work with it, which use cases are most suited for this framework, and most importantly, which features of Langchain can deliver the greatest value from his perspective.

Leon lives in Heidelberg. He holds a Master's degree in Mechatronics with a focus on Artificial Intelligence from Hochschule Mannheim. During his studies there, he was employed as an AI Scientist for almost three years, with his research mainly focusing on autonomous driving. Since April, he has been working at Snocks as an AI Scientist. There, he delves into the exciting world of Large Language Models (LLMs) and explores their applications in e-commerce. He currently leads a team of three developers with whom he collaborates on innovative AI solutions. His expertise lies particularly in working with PyTorch, CV-based AI frameworks, Langchain, and well-known LLMs such as GPT. What drives him? The "Why-Not-Spirit". His motto: "Just do it and build awesome AI tools."

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Lightning Talks:

1. Locating the spiral arms of the Milky Way using t-sne - Dr. Bertrand Lemasle

2. Developing an AI-based Business Data Analyst using OpenAI Function Calling - Bernhard Schäfer

3. Open-Source Science (OSSci) - Tim Bonnemann

Acknowledgements

Also a big thank you to our sponsors:

• NUMFOCS, for promoting open source software.
• KÖNIGSWEG, for supporting the organization.
• paretos, for hosting the meetup.

Contact

If you have any questions or suggestions, please feel free to contact us via:

• Meetup
• Want to speak? Submit a talk here.
• Interested in hosting an event? Here's our Info-Deck & contact to the organisers!