AI
Essays and reflections gathered around ai.
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How Language Models Turn Context into Text
An accessible look at tokens, attention, and why fluent generated text still needs evidence behind its claims.
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RAG: Connecting AI Answers to Documents
How retrieval-augmented generation uses external information, and how to evaluate whether an answer is actually supported.
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Evaluating AI Beyond an Impressive Demo
A practical framework for testing useful performance, difficult cases, and the cost of mistakes before adopting an AI system.
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AI Bias: The Questions Behind the Score
Why responsible AI assessment needs to examine data, decisions, and the people affected—not just an overall accuracy figure.
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Using AI to Support Learning
How students and teachers can use AI for explanation, practice, and feedback while keeping understanding at the centre.