Large Language Models Bootcamp | Session 2

GDG Glasgow
Fri, Oct 13, 6:00 PM (BST)

37 RSVP'ed

About this event

Dive deep into the fascinating world of Large Language Models (LLMs) with our intensive four-week bootcamp suitable for anyone interested in understanding and working with them. Tailored to demystify the intricacies of LLMs, this bootcamp is structured to gradually introduce you to foundational concepts, advanced fine-tuning techniques, and the art of prompt engineering, culminating in a comprehensive guide on building and deploying your own LLM.

This bootcamp will be lead by Nishi Ajmera, a seasoned Solution Architect and Lead Engineer at Publicis Sapient. With a strong technical foundation, she holds certifications in Google, AWS and Azure. Beyond her technical prowess, Nishi is passionate about promoting diversity in tech, proudly serving as a Women Techmakers Ambassador. 

The bootcamp will be held every Friday of October, from 6th to the 27th, at 6:00 PM.

Facilitators

When

Friday, Oct 13
6:00 PM - 7:00 PM (BST)

Host

  • Patty O’Callaghan

    Patty O’Callaghan

    Charles River Laboratories

    Tech Lead / Machine Learning GDE

    See Bio

Organizers

  • Patty O'Callaghan

    Patty O'Callaghan

    Charles River Laboratories

    Organizer

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  • José Enrique Calderón Sanz

    José Enrique Calderón Sanz

    JP Morgan Chase & Co

    Organizer

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  • Prashanti Chikiley

    Prashanti Chikiley

    JP Morgan

    Organizer

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  • Cleyra Uzcategui

    Cleyra Uzcategui

    JPMorgan Chase & Co.

    Organizer

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  • Lewis Shearer

    Lewis Shearer

    Jordanhill School

    Team member

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  • Marzia Deodato

    Marzia Deodato

    Barclays

    Organizer

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  • Sophie McCartney

    Sophie McCartney

    University of Strathclyde

    Team member

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  • Ishita Narsiker

    Ishita Narsiker

    University of Glasgow

    Team member

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  • Delia Paternina

    Delia Paternina

    Charles River Laboratories

    Team member

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  • Habib Ogunsola

    Habib Ogunsola

    AHRO Publishing

    Team member

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