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UID:10000523-1788976800-1788984000@sop.utoronto.ca
SUMMARY:AICIA UofT AI 101 Session: Modern AI Landscape
DESCRIPTION:https://meet.google.com/ejh-xmbu-snj \nAI 101 is the starting point for students who want to understand modern AI and learn how to use it effectively and responsibly. \nIn this interactive introductory session\, we will explore the major types of AI students are encountering today\, including language models\, reasoning-oriented AI\, multimodal systems\, agents\, image generation\, and video/creative AI. \nRather than focusing on memorizing individual tools\, the session will help you develop a practical framework for deciding which AI capability fits a problem\, what context the AI needs\, what can go wrong\, and how to verify the result. \nWe will cover: \n\nThe modern AI landscape and major AI capability families\nWhat language models and generative AI are good at\nReasoning\, multimodal AI\, agents\, image generation\, and video AI\nReal-world AI products and how to choose the right tool for a task\nThe AI Collaboration Window — understanding what you know\, what the AI knows\, and when more context is needed\nCommon AI failure modes\, including hallucinations and false confidence\nHuman verification and responsible AI use\nPractical examples and a short hands-on exercise\n\nNo previous AI experience is required. Students from all programs and levels of technical experience are welcome. \nBy the end of the session\, you should be able to: \n\nidentify major AI capabilities\nchoose a suitable AI approach for a real problem\nrecognize important risks and limitations\nevaluate and verify AI-generated outputs\nidentify a practical next step for developing your AI skills
URL:https://sop.utoronto.ca/event/aicia-uoft-ai-101-modern-ai-landscape/
LOCATION:VIRTUAL\, 27 King's College Circle\, Toronto\, Ontario\, M5S 1A1\, Canada
CATEGORIES:Virtual
ORGANIZER;CN="AI Career &amp%3B Innovation Association Club UofT":MAILTO:kyler.luo@mail.utoronto.ca
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DTSTART;TZID=America/Toronto:20260916T180000
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DTSTAMP:20260908T065009Z
CREATED:20260908T065008Z
LAST-MODIFIED:20260908T065009Z
UID:10000531-1789581600-1789588800@sop.utoronto.ca
SUMMARY:AI 102: Working Effectively With AI
DESCRIPTION:Time: 6 pm to 8 pm\nDate: Wednesday September 16\nLink: http://meet.google.com/mwc-jgar-nbt \nA hands-on introduction to prompt engineering\, context engineering\, and reliable AI workflows. \nIn this session\, students will learn how to move beyond simple prompting and communicate with AI more systematically. We will explore how to define clear goals\, provide useful context\, structure tasks\, set constraints\, control outputs\, and verify AI responses. \nTopics include: \n\nThe fundamentals of prompt engineering\nThe Goal\, Context\, Task\, Constraints\, Output\, Verify framework\nWeak prompts vs. better prompts\nZero-shot and few-shot prompting\nStructured reasoning and task decomposition\nPrompt templates and reusable workflows\nCommon prompting mistakes and how to debug them\nA hands-on AI Research Assistant example\n\nParticipants will work through practical exercises and learn techniques they can immediately apply to studying\, research\, coding\, projects\, and everyday AI use. \nNo advanced AI or programming experience is required.
URL:https://sop.utoronto.ca/event/ai-102-working-effectively-with-ai/
LOCATION:VIRTUAL\, 27 King's College Circle\, Toronto\, Ontario\, M5S 1A1\, Canada
CATEGORIES:Virtual
ORGANIZER;CN="AI Career &amp%3B Innovation Association Club UofT":MAILTO:kyler.luo@mail.utoronto.ca
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