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Agenda
๐Ÿ“ฃ๐Ÿ“ฃWe are happy to announce the 45th PyData Cambridge meetup!๐Ÿ“ฃ๐Ÿ“ฃ
Agenda:
18:45 - ๐Ÿšช Doors open (Please do not arrive earlier)
19:00 - โ–ถ๏ธ Introduction
19:15 - ๐Ÿ—ฃ "Fine tuning an open source foundation model for LLM applications", by Matthew Thomson, Databricks.
19:50 - ๐Ÿ• Interval - pizza and drinks provided
20:15 - ๐Ÿ—ฃTBD
20:50 - ๐Ÿป End (Pub - Station Tavern, Station Square, map here).

This event is sponsored by the Raspberry Pi Foundation.
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Abstracts

Fine tuning an open source foundation model for LLM applications
Speaker: Matthew Thomson
LLMs have taken the world by storm over the past few months. But there's often a common perception that building an LLM model yourself is prohibitively challenging and expensive. In this talk I will show you how you can use state of the art Open Source foundation models and fine tune those models simply and cheaply to build something bespoke on your data. At Databricks we believe in selecting the right model for the right use-case, and with Dolly we demonstrated how fine-tuning on a bespoke dataset can provide instruction-following capability.

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Speakers Bios

Matt Thomson has been at Databricks since April 2018 and joined as one of the first Resident Solutions Architects in EMEA and the first Data Scientist. Matt is now Sr. Director for EMEA Product Specialists in Field-Engineering, his team aligns with Databricks Product and Engineering teams to help develop best-practices for deploying the Databricks Lakehouse AI Platform at scale with our customers. Matt also has a focus on Machine Learning, last year publishing the Big Book of MLOps providing the Databricks reference architecture and point of view on MLOps in general. Previously Matt held Data Science roles both in industry and consulting, leading Data Science for UK Credit Card Strategic Analytics within a global bank and helping to develop the ML capability for a UK public sector organisation. Matt holds a PhD in Astrophysics from his research on the evolution of distant galaxies.

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Code of Conduct
PyData is dedicated to providing a harassment-free event experience for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of participants in any form.
The PyData Code of Conduct governs this meetup. ( http://pydata.org/code-of-conduct.html ) To discuss any issues or concerns relating to the code of conduct or the behaviour of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (leah@numfocus.org) or organizers.

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