AI Deep Dive: NLP Tool and LLMs

Apr 25, 06:00 PM BST
  • London AICamp
  • 92 RSVP

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

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 and crowdsourcing technology for LLMs, this meet-up is for you! Join us for an insightful and thought-provoking discussion on the forefront of AI innovation.

Please note that a QR-Code will be emailed to all registered attendees a day before the event, which will serve as your entry pass for the meet-up. We may not let you in the building without it.

Agenda (BST):
* 6:00pm~6:30pm: Checkin, Food/Snacks/Drink and networking
* 6:30pm~6:45pm: Welcome/community update
* 6:45pm~7:45pm: Tech talks
* 7:45pm: Open discussion & Mixer

Tech Talk 1: NLP Tool: From modeling to production
Speaker: Annalisa Arcella, ML Engineer Manager @PwC
Abstract: NLP is one of the most fascinating fields of Artificial Intelligence that is helping organisations to modernise their business. This session will showcase the full life cycle of an NLP tool that automates the analysis of thousands customer reviews. The architecture of the tool, deployed in Google cloud, will be discussed along with challenges and successes.

Tech Talk 2: How Crowdsourcing can Democratize LLMs
Speaker: Alexey Dolotov
Abstract: In this talk, we discuss several gaping problems of modern LLMs that became particularly salient after the release of ChatGPT. We discuss a set of performance evaluation experiments and the discrepancies between the distribution of languages in the training data and the distribution of languages in terms of their native speakers across the globe. We illustrate how crowdsourcing can amend these challenges using the example of WMT22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages. With a series of experiments with LLMs and multimodal generative models, we try to illustrate how modern crowdsourcing can facilitate prompt engineering and even assist in fine-tuning a model for a more narrow use case. Finally, we discuss the demand for more skilled and committed data labelers that arises as LLMs get broader adoption.

UCL School of Management
One Canada Square, Greater London, E14 5AA Google Map

Community on Slack
- Event chat: chat and connect with speakers and attendees
- Sharing blogs, events, job openings, projects collaborations
Join Slack (search and join #london channel)


Annalisa Arcella
Dr. Annalisa Arcella is an ML Engineer Manager and AI Lead with 15 years of experience working worldwide from biomedical research, IoT, to financial service and the public sector. She is a cloud enthusiastic, public speaker and active ambassador of Google Developers Community as Women Techmakers. She worked and lived in 5 countries and is a swing dancer.
Alexey Dolotov
Alexey Dolotov is a Data Science graduate who kickstarted his career as a developer. He has a track record of founding and scaling up startups, assuming diverse roles ranging from business owner to CEO. In his previous roles, he established and led the analytics department in a large IT company.
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