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Title & Speakers	Event
Event August Members Talk Evening 2024-08-13
RAG (Retrieval-Augmented Generation) 2024-08-13 · 20:00 Fateme Kamali – Data Scientist @ DHL Data & Analytics team Talk description TBC retrieval-augmented generation RAG NLP
Foundation models for complete beginners 2024-08-13 · 19:30 Mary Newhauser – data scientist specializing in generative AI and large language models One of the key players behind the staggering speed of advancement in machine learning and AI are foundation models. But what is a foundation model, really? In this talk, I’ll explain what exactly defines a foundation model, what they’re capable of doing, and review some well-known examples of foundation models in the real world. foundation models machine learning generative ai large language models

Event June Members Talk evening 2024-06-11
Retrieval-Augmented Generation 2024-06-11 · 20:00 Fateme Kamali – Data Scientist @ DHL Data & Analytics team Overview of Retrieval-Augmented Generation. retrieval-augmented generation
Sweet Summer Child Score 2024-06-11 · 19:20 Laura Summers – Founder @ Debias AI Sweet Summer Child Score is an open-source library to identify potential AI harms. A truism in tech is that we're good at asking can we do it, but not should we do it. Attempting to tackle the latter, this library offers a system scan to quickly identify potential harms, and build the capability of relative risk assessment. SSCS does not explore the specifics of your stack or technical implementation -- instead it takes a step back to look at the ecosystem your technology will be deployed in, and the implementation choices which define the seam between your system and the broader world. Put simply, this is an attempt to see the forest, not the trees. The project and GitHub repos are online at https://summerchild.dev sweet summer child score

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