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we craft effective prompts and evaluate model output
Read more ↗1. Approach Prompting as a Discussion Instead of a Direct Command Suppose you have a very intelligent but word-literal intern to work with. If you command them, "Write about health," you are most likely going to get a…
Read more ↗different models give different answers to the same question
Read more ↗1. Different Brains, Different Training Imagine you ask three doctors about a headache: One from India, One from Germany, One from Japan. All qualified — but all will have learned from different textbooks, languages, and experiences. AI models…
Read more ↗AI model to use (for a given task)
Read more ↗1. Start with the Problem — Not the Model Specify what you actually require even before you look at models. Ask yourself: What am I trying to do — classify, predict, generate content, recommend, or reason? What is…
Read more ↗we ensure AI supports, rather than undermines
Read more ↗What "Meaningful Learning" Actually Is After discussing AI, it's useful to remind ourselves what meaningful learning actually is. It's not speed, convenience, or even flawless test results. It's curiosity, struggle, creativity, and connection — those moments w…
Read more ↗AI enhance or hinder the relational aspects of learning
Read more ↗The Promise: How AI Can Enrich Human Connection in Learning 1. Personalized Support Fosters Deeper Teacher-Student Relationships While AI is busy doing routine or administrative tasks — grading, attendance, content recommendations — teachers get the most preci…
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1. What Every Method Really Does Prompt Engineering It's the science of providing a foundation model (such as GPT-4, Claude, Gemini, or Llama) with clear, organized instructions so it generates what you need — without retraining it. You're…
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