There are a number of tasks that benefit from the application of LLMs, specifically for humanists. These include:
This page attempts to show some materials that are useful to help researchers in the humanities to address these tasks.
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Responsible AI in Cultural Heritage: a free and open course with 5 modules 5-modules-course is out, hosted at the RESHAPED platform of the School of Advanced Study, University of London
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RANLP2025 conference proceedings
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CLARIN Learning Hub: https://www.clarin.eu/content/learning-hub
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Lancaster Corpus MOOC: https://www.edx.org/learn/social-sciences/lancaster-university-corpus-linguistics-and-new-technologies-data-language-society
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Programming Historian https://programminghistorian.org/
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Online tutorials in English, Spanish, French and Portuguese
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Includes AI, machine learning tutorials in facial recognition, clustering documents, and image classification
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UCREL NLP summer schools 2024 GitHub repositories: https://github.com/UCREL/USS2024
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ARISA AI Skills Academy https://academy.aiskills.eu/courses (recommended by CLARIN training hub)
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Aimed at a wide variety of learners with courses providing an introduction to AI, machine learning, classification, deep learning, and explainability
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AI & Machine Learning in Libraries: a LIBER Digital Scholarship & Data Science Topic Guide for Library Professionals https://libereurope.github.io/ds-topic-guides/ai-ml.html
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#dariahTeach
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TRAM511 Introduction to Artificial Intelligence for Translators and Interpreters: https://www.surrey.ac.uk/cpd-and-short-courses/tram511-introduction-artificial-intelligence-translators-and-interpreters
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Library Carpentry
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Course: AI for Social Sciences and Humanities | OpenCourses-UoC (Introductory online course assuming no prior technical knowledge)
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MOOC: AI in Society | Una Europa