Supporting web development and digital research infrastructure are critical dimensions of work across academic libraries – and AI tools for coding are becoming vital to this work. But with so many different options and platforms to explore, it can be overwhelming to know where to start.
The newest post in the AI Tools for Academic Libraries blog, co-authored by Pieter Botha, AI and Machine Learning Technical Manager at the Ontario Council of University Libraries (OCUL), examines a variety of open-source models and proprietary platforms. Drawing on Botha's two years of AI application coding experience, the article shows how these tools can expand coding and programming possibilities without expensive or time-consuming training.
Read "AI Tools for Academic Libraries: AI Programming and Coding Tools"
The AI Tools for Academic Libraries blog series is a collaboration between OCUL and Choice, a publishing unit of the Association of College and Research Librarians. The series is hosted on Choice's LibTech Insights content channel that examines the day-to-day impact of library and education tech on academic librarians.
Learn more about OCUL's AI and machine learning projects and programming.