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AI, Large Language Models, and Higher Education

This guide is an introduction to large language models (e.g., Bard, Bing, ChatGPT).

Introduction

Artificial Intelligence (AI) is rapidly transforming various sectors, including higher education. From automating administrative tasks to enhancing research, AI tools and resources are becoming indispensable in academic settings. This guide aims to provide an overview of AI's role, its applications, and resources for the Carlow University community.

Key Terms

Navigating through the realm of AI can sometimes feel like learning a new language. Let’s break down some of the jargon to make it a bit more digestible.

  • Algorithm

    • Definition: A set of rules or instructions given to an AI, ML model, or other systems to help it learn patterns and/or make decisions.
    • In Practice: Social media platforms use algorithms to analyze your activity and determine which posts to show on your feed.

  • Artificial Intelligence (AI)

    • Definition: A branch of computer science that enables machines to mimic human intelligence, such as problem-solving, learning, and understanding natural language.
    • In Practice: From Siri on your iPhone helping you find the nearest coffee shop to algorithms that predict weather patterns, AI is all around us.

  • Computer Vision

    • Definition: An interdisciplinary field that enables computers to interpret and make decisions based on visual data, similar to how humans use sight.
    • In Practice: Self-driving cars use computer vision to navigate and avoid obstacles on the road.

  • Data Mining

    • Definition: The process of discovering patterns, correlations, and anomalies within large datasets to predict outcomes.
    • In Practice: E-commerce sites might use data mining to identify purchasing trends and recommend products to users.

  • Large Language Models (LLMs)

    • Definition: A type of AI that uses vast amounts of text data to understand and generate human-like text, answering queries, creating content, or facilitating conversations in a coherent manner.
    • In Practice: ChatGPT, developed by OpenAI, is an example of an LLM. It can draft emails, answer questions, create written content, and even assist in brainstorming sessions.

  • Machine Learning (ML)

    • Definition: A subset of AI, ML allows computers to learn from data, identify patterns, and make decisions with minimal human intervention.
    • In Practice: Ever wonder how Netflix knows just what movie to recommend next? That’s ML in action, analyzing your viewing habits and making recommendations accordingly.

  • Natural Language Processing (NLP)

    • Definition: A field of AI that helps computers understand, interpret, and produce human language in a way that is both valuable and meaningful.
    • In Practice: When you type a query into Google and it understands the context of your question, that’s NLP working to understand your language and intent.

  • Neural Networks

    • Definition: A set of algorithms, modeled loosely after the human brain, designed to recognize patterns in data.
    • In Practice: Facial recognition systems use neural networks to identify faces by analyzing patterns and features in images.

Reference Services

Grace Library offers the following four tiers of one-on-one reference services:

  • 30-Minute Library Orientation
  • 30-Minute Reference for basic research needs
  • 60-Minute Undergraduate Reference
  • 60-Minute Graduate and Faculty Reference

All sessions are by-appointment-only, and can be booked as an in-person or virtual session (Microsoft Teams) through our Microsoft Bookings site. The site syncs with library staff's individual Outlook calendars, giving you up-to-date times and availability for each of our services and staff members. 

Can't find a time that works with your schedule on the site? Email us at gracelibrary@carlow.edu and we will work with you to find a time that fits your schedule, including evenings and weekends!