What we’re about
The London Machine Learning Meetup is the largest machine learning and artificial intelligence community in Europe. Previous speakers include Juergen Schmidhuber, Yoshua Bengio and Andrej Karpathy.
Sponsors: Evolution AI—Intelligent data extraction from financial documents.
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https://www.youtube.com/channel/UCpwC9QC0lWaEJ85MoMRFvrA/videos
Sponsors
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G-ResearchIn-person Meetup venue host.
ArcticDBIn-person Meetup sponsor.
Evolution AIThe organiser, Evolution AI, is an award-winning data extraction firm.- G-ResearchIn-person Meetup venue host.
- ArcticDBIn-person Meetup sponsor.
- Evolution AIThe organiser, Evolution AI, is an award-winning data extraction firm.
Upcoming events (1)
See all- Network event94 attendees from 4 groups hosting*in-person* Max Bartolo | Building Robust Enterprise-Ready Large Language ModelsRiverbank House, London
*Note* RSVPs will close at noon on Tuesday, 15th April or until the event reaches full capacity.
Title: From Pretraining to Post-Training: Building Robust Enterprise-Ready Large Language Models
Speaker: Max Bartolo (Researcher, Cohere)
Abstract: In this talk, Max will provide a technical overview of the key components involved in building enterprise-ready LLMs. He will explore research on how procedural knowledge acquired during pretraining contributes to reasoning capabilities, the challenges of ensuring robustness, and the complexities of incorporating human feedback effectively. Additionally, he will discuss some of the innovations that power Command A, including self-refinement algorithms that enable models to iteratively improve their outputs and model merging techniques that integrate multiple fine-tuned expert models, retaining excellent performance across capabilities efficiently.
Speaker Bio: Max is a researcher at Cohere leading the Command modelling team and is co-chair of the DMLR working group at MLCommons, shaping best practices for large-scale model training. His research focuses on language model robustness, complex reasoning, and innovations in dynamic adversarial data generation and benchmarking. He has previously conducted research at DeepMind, Facebook AI Research and Bloomsbury AI, and was also an adjunct teaching fellow at University College London. His research has been featured in leading global publications, including Wired, Fortune, and MIT Technology Review, and has earned multiple awards at top-tier conferences.
Resources:- Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models (https://arxiv.org/abs/2411.12580)
- Synthetic Adversarial Data Generation (https://arxiv.org/abs/2104.08678)
- Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models (https://arxiv.org/abs/2405.05417)
- Human Feedback is not Gold Standard (https://arxiv.org/abs/2309.16349)
- The PRISM Alignment Dataset (https://arxiv.org/abs/2404.16019)
Agenda:
5:15pm - Registration opens
6pm - Talk
6:40pm - Q&A session
7pm - Networking + refreshments (soft/alcoholic drinks + pizza)
8pm - ClosePlease note that the live talk will be recorded and uploaded to the Meetup YouTube channel.
Many thanks to our sponsors, Man Group and ArcticDB, for hosting this Meetup.
Past events (139)
See all- Network event112 attendees from 4 groups hostingAli Behrouz | Titans: Learning to Memorize at Test TimeThis event has passed
