ChatGPT is an AI language model developed by OpenAI, designed to understand and generate human-like text based on the input it receives, offering conversational capabilities and assistance across various tasks and domains.
(formerly Bing Chat) Microsoft Copilot is a chatbot based on a large language model and able to cite sources, create poems, and write both lyrics and music for songs generated by its Suno AI plugin. It is Microsoft’s primary replacement for the discontinued Cortana. (Wikipedia)
Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2. Comprising Gemini Ultra, Gemini Pro, and Gemini Nano, it was announced on December 6, 2023, positioned as a competitor to OpenAI's GPT-4. (Wikipedia)
DALL-E 2 is an AI model developed by OpenAI that generates images from textual descriptions, allowing users to input text prompts and receive corresponding synthetic images as outputs, demonstrating advanced capabilities in creative visual synthesis.
Fireflies.ai is a voice conversation tool that records, transcribes, and analyzes meetings, offering AI-powered search, collaboration features, and insights through Conversation Intelligence metrics.
This guide serves as a comprehensive resource tailored for teaching faculty, providing insights into core concepts, practical applications, and ethical considerations surrounding artificial intelligence (AI) in education.
This LibGuide was developed by the PASCAL Training Working Group with some assistance from ChatGPT, a language model created by OpenAI.
Understanding AI is crucial for teaching faculty as it equips them with the knowledge needed to harness AI's potential in enhancing educational practices, addressing academic integrity concerns, and preparing students for an AI-driven future job market. Moreover, familiarity with AI enables educators to adapt teaching methodologies and leverage AI tools effectively to personalize learning experiences and improve student outcomes.
Artificial Intelligence (AI) encapsulates the endeavor to engineer machines that replicate human intelligence. The formal inception of AI as a distinct field of study occurred in 1956 at a Dartmouth College workshop, marking the commencement of an academic and practical exploration into cognitive simulation. The trajectory of AI has been characterized by cycles of ambitious advancements and subsequent periods of disillusionment, known as "AI winters," due to unmet expectations.
In the contemporary era, AI manifests across a diverse spectrum of applications, including but not limited to, machine learning, natural language processing, and autonomous systems, exemplified by virtual assistants (like Siri and Alexa), personalized recommendation engines (as seen on Netflix and Amazon), and self-navigating vehicles.
Generative AI, a subset of AI, focuses on creating new content or data that is similar but not identical to existing data. It involves algorithms that can generate text, images, videos, and music that resemble human-like creativity. Tools like GPT (Generative Pre-trained Transformer) and DALL-E are prominent examples, showcasing the ability of AI to produce novel content based on learned patterns and data.
For a comprehensive list of terms, visit the Glossary of Terms page.
Beginner-friendly resources explaining the core technical concepts behind generative AI.
A beginner's guide venturing beyond chatbots to "discover various species of AI."
ChatGPT (OpenAI)
Copilot (Microsoft)
Gemini (Google)
DALL-E 2 (OpenAI)
fireflies.ai