talk-data.com
Activities & events
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London AI Meetup #1
2025-11-21 · 17:30
Join us on November 21, 2025 to learn, share, and network with some of the most experienced professionals who are passionate about AI/ML/Agents. From the London PyTorch community organisers. This time, we’re excited to have Monzo as a special partner. You’ll gain first-hand insights from the Monzo Team and hear from our experts and partners across the industry. Event Details Date: Friday, November 21, 2025 Time: 17:30 – 21:00 Where: Monzo Bank HQ Location: Broadwalk House, 5 Appold St, London EC2A 2AG 🚨 Important: Limited seats available. Registration form is required. For security reasons, only guests completed the registration form will be granted access. Walk-ins will not be allowed. 👉 Please fill out the registration form: https://forms.gle/rRGvm5bdVsyZcYpK9 Another option just go with Luma: https://luma.com/8o542jdj Please, take your physical ID to attend the event at Monzo office. Sorry for any inconvenience! If you’d like to give a talk or become a partner for one of the upcoming meetups, message https://www.linkedin.com/in/kirzharov/ or https://www.linkedin.com/in/fedorshabashev/. 📞 Join our Discord server to stay connected with the community and if you have any questions: https://discord.gg/aichapters |
London AI Meetup #1
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Scaling Vector Search Up & Out with Spark
2025-09-12 · 16:30
Ash Vardanian
– Founder
@ Unum Cloud
Apache Lucene was never built for AI-scale vector search. In this talk, I’ll show how USearch bridges the JVM–native gap, pairing Spark’s horizontal scale with native vertical speed. |
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Foundation models for 3D reconstruction
2025-09-12 · 16:30
alexandr notchenko
– AI Research Scientist
@ Topnotch Labs
We will trace 3D reconstruction from classical SfM/MVS to the deep-learning shift, transformer-based models like VGGT that tackle multiple 3D vision tasks at once. This talk is for anyone at the intersection of deep learning and 3D vision who wants to understand how these tools are redefining the state of the art and the future of spatial AI. |
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LLM Inference Under the Hood: From Edge Devices to Production Beasts
2025-09-12 · 16:30
kir zharov
– Co-Founder
@ SpinnerAI
We will dive deeper into inference from Apple Silicon to huge production clusters, and cover tricks how to make it faster. |
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Automating LLM lifecycle on Databricks using Agent Bricks
2025-09-12 · 16:30
udaybhanu gaddam
– Solutions Architect
@ Databricks
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sanjay ashok
– Solutions Architect
@ Databricks
This talk explores what components are included in the LLM lifecycle: fine-tuning, evaluations, LLMs as judges, and human-in-the-loop feedback. We’ll show how Agent Bricks on Databricks automate these workflows, making it easier to build, assess, and scale trustworthy AI systems |
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Perforated AI Neural Network Optimization Hackathon - Day 2
2025-03-22 · 16:00
Join PyData Pittsburgh at Perforated AI's Neural Network Optimization Hackathon! Rorry Brenner, the founder and CEO of Perforated AI, gave a talk about the Perforated Backpropagation™ algorithm at PyData Pittsburgh's June 2024 event. ⚠️ You may RSVP on Meetup, but please note that you'll also need to register on the Perforated AI website to participate in the hackathon. ⚠️ Unlike most hackathons, for this hackathon you can select your project in advance. Come to the first day with a PyTorch pipeline already built and learning properly on your dataset. This can be any project you want: a model from academic research, a commercial product, a personal project, or even an existing Kaggle competition. The goal of this hackathon is to see how much you can improve the predictive accuracy and computational efficiency of your initial PyTorch model using the Perforated Backpropagation™ algorithm and Python package. The hackathon will take place over seven weeks, with two in-person days for kickoff and final presentations:
Winning teams will be awarded $6,000 in prize money, among a variety of smaller prizes! For more information and to register, please visit the Perforated AI Hackathon website and see the Details and FAQ page. Getting to the event The Swartz Center for Entrepreneurship is located within the Tepper School of Business on the Carnegie Mellon University campus. After you arrive at the Tepper Quad, enter the main doors of the Tepper School building (on floor 2). The Swartz Center for Entrepreneurship is located on the third level (on floor 3) in Suite 3700. Parking is available in the East Campus Garage on Forbes and Beeler Streets. For more information about directions and parking, please see here. Learn more about PyData Pittsburgh and subscribe to announcements and event updates at https://news.pypgh.org. |
Perforated AI Neural Network Optimization Hackathon - Day 2
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Perforated AI Neural Network Optimization Hackathon - Day 1
2025-02-01 · 15:00
Join PyData Pittsburgh at Perforated AI's Neural Network Optimization Hackathon! Rorry Brenner, the founder and CEO of Perforated AI, gave a talk about the Perforated Backpropagation™ algorithm at PyData Pittsburgh's June 2024 event. ⚠️ You may RSVP on Meetup, but please note that you'll also need to register on the Perforated AI website to participate in the hackathon. ⚠️ Unlike most hackathons, for this hackathon you can select your project in advance. Come to the first day with a PyTorch pipeline already built and learning properly on your dataset. This can be any project you want: a model from academic research, a commercial product, a personal project, or even an existing Kaggle competition. The goal of this hackathon is to see how much you can improve the predictive accuracy and computational efficiency of your initial PyTorch model using the Perforated Backpropagation™ algorithm and Python package. The hackathon will take place over seven weeks, with two in-person days for kickoff and final presentations:
Winning teams will be awarded $6,000 in prize money, among a variety of smaller prizes! For more information and to register, please visit the Perforated AI Hackathon website and see the Details and FAQ page. Getting to the event The Swartz Center for Entrepreneurship is located within the Tepper School of Business on the Carnegie Mellon University campus. After you arrive at the Tepper Quad, enter the main doors of the Tepper School building (on floor 2). The Swartz Center for Entrepreneurship is located on the third level (on floor 3) in Suite 3700. Parking is available in the East Campus Garage on Forbes and Beeler Streets. For more information about directions and parking, please see here. Learn more about PyData Pittsburgh and subscribe to announcements and event updates at https://news.pypgh.org. |
Perforated AI Neural Network Optimization Hackathon - Day 1
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PyTorch Meetup #19
2024-11-21 · 18:00
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:
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. |
PyTorch Meetup #19
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PyData Heidelberg #11 - TimeSeries Forecasting & LLM Langchain
2023-08-22 · 16:00
TIMESERIES #FORECASTING #LLMS #LANGCHAINIn 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 This event will be in English. ---- 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." ---- 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:
Contact If you have any questions or suggestions, please feel free to contact us via:
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PyData Heidelberg #11 - TimeSeries Forecasting & LLM Langchain
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