Skip to main content
SAIL@UofT

Resources

Starting points for AI literacy

A growing library of resources for learning about AI and using it well as a student. Entries marked as samples are placeholders that will be replaced with verified resources.

This library is under active curation. Sample entries below show the kinds of resources we're gathering; they'll be replaced with verified links as our resource team reviews them. SAIL@UofT does not endorse specific commercial tools.

AI fundamentals

  • What is a large language model?

    Sample

    Sample entry — a plain-language introduction to how modern AI models work will be linked here.

  • Key AI terms explained

    Sample

    Sample entry — a glossary covering prompts, tokens, hallucinations, fine-tuning, and more.

Academic use

  • Using AI within course policies

    Sample

    Sample entry — guidance on checking each course's AI policy and citing AI assistance appropriately.

  • Study workflows with AI

    Sample

    Sample entry — practical patterns for summarizing readings, generating practice questions, and self-testing.

Research and writing

  • Literature discovery with AI tools

    Sample

    Sample entry — approaches for finding and triaging papers while verifying sources independently.

  • Editing and feedback, not ghostwriting

    Sample

    Sample entry — how to use AI for structure and clarity feedback while keeping the writing your own.

Productivity and organization

  • Planning a semester with AI assistance

    Sample

    Sample entry — templates for breaking down assignments and building realistic schedules.

Responsible AI

  • Limitations and failure modes

    Sample

    Sample entry — understanding hallucination, bias, and when not to rely on AI output.

  • Privacy basics for AI tools

    Sample

    Sample entry — what to consider before sharing personal or course data with AI services.

Careers and professional development

  • AI skills employers ask about

    Sample

    Sample entry — an overview of AI-related competencies appearing in internship and new-grad postings.

Have a resource worth sharing? Let us know.