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A Guide to AI for Gonzaga Students

What AI Does Well

As human language simulators, LLMs are able to do the following:

  • Language Generation

    • Write coherent, contextually appropriate text (essays, explanations, summaries, stories).

    • Adapt tone, style, and format for different audiences or purposes.

    • Translate, rephrase, and paraphrase across multiple languages and complexity levels.

  • Information Synthesis

    • Summarize long texts or datasets.

    • Extract key ideas or arguments from dense content.

    • Connect disparate concepts to suggest new approaches.

  • Ideation and Creativity Aid

    • Aid a human user in brainstorming ideas, solutions, titles, or research questions.

    • Generate original content—text, images, code, music, etc.—based on user prompts.

    • Assist with problem-solving by offering example approaches or interpretations.

  • Personalization and Adaptation

    • Tailor responses to user input, learning goals, or skill level.

    • Mimic different voices or genres (e.g., academic, informal, poetic).

    • Provide scaffolding or step-by-step instruction on complex tasks.

  • Conversational Interaction

    • Engage in sustained dialogue, simulating tutoring, feedback, or Socratic questioning.

    • Maintain context over multiple turns to support deeper exploration.

    • Offer clarification, elaboration, or examples on request.

  • Multimodal Generation

    • Respond to prompts with code, charts, tables, slides, images, video, and more (this varies based on the AI tool used). 

    • Can often interpret and respond to visual, audio, or structured data inputs.

  • Automation and Efficiency

    • Speed up drafting, editing, and formatting tasks.

    • Handle repetitive cognitive work (e.g., rewording, checklist creation, template generation).

  • Simulation and Roleplay

    • Emulate popular figures, interview subjects, or opposing viewpoints.

    • Support active learning through scenario-based exploration.

    • Provide low-risk environments for students to practice communication or decision-making.

As generative artificial intelligence is trained and connected to more systems, we will see these capabilities grow. For example, the first versions of ChatGPT could not search the internet, but now a search function has been added to ChatGPT language models, allowing them to retrieve and interact with information from the internet. 

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