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SUMMARY:Literary Divisions (Technical)
DESCRIPTION:In this technical webinar\, LEMDO Project Manager\, Navarra Houldin\, will explain how we use the TEI attribute @xml:id to number speeches and link speakers in modernized texts.
URL:https://ccdhhn.ca/workshop/literary-divisions-technical/
LOCATION:LEMDO
CATEGORIES:1-4 hour workshop
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SUMMARY:GIS Drop-In Session
DESCRIPTION:Date: 21 November 2024 \n\n\n\nDo you have any questions about Geographic Information Systems (GIS)? Need help with an analysis tool or troubleshooting an issue? Curious how GIS could be used in your research? Drop-in with your questions\, data\, or project to get assistance from the Library’s GIS Specialist. \n\n\n\nFacilitator Bio:  \n\n\n\nChristine Homuth (she/her) is the Library’s GIS Specialist\, providing support and resources to students\, researchers\, and faculty members working with Geographic Information Systems (GIS) and geospatial data.
URL:https://ccdhhn.ca/workshop/gis-drop-in-session/
LOCATION:McMaster University\, 1280 Main St W\, Hamilton\, Ontario\, L8S 4L8\, Canada
CATEGORIES:1-4 hour workshop
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SUMMARY:Introduction to Large Language Models (LLMs)
DESCRIPTION:Date: 21 November 2024 \n\n\n\nThis workshop focuses on Large Language Models (LLM) to provide participants with a foundational understanding of LLM\, their working\, and how to fine-tune a pre-trained LLM for your own data. \n\n\n\nIn this workshop\, we will use cloud-based platforms\, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning\, such as Python and Scikit-learn. As such\, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop. \n\n\n\nThe first hour of the workshop will be core content and the last 30 minutes will be reserved for questions and hands on experimentation. \n\n\n\nLearning objectives\n\n\n\nAt the end of this workshop\, you will be able to: \n\n\n\nFine tune pre-trained LLM model to customize for a sample dataset. \n\n\n\nUnderstand architecture and working of LLM \n\n\n\nGain knowledge of some popular pre-trained LLM models \n\n\n\nInstructor: Aisha Eldeeb
URL:https://ccdhhn.ca/workshop/introduction-to-large-language-models-llms/
LOCATION:Nova Scotia
CATEGORIES:1-4 hour workshop
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