Honest Write-Up: The Law of Large Numbers Doesn’t Always Save You
A real Cauchy-distribution experiment shows the Law of Large Numbers and Central Limit Theorem can both fail — the sample mean never converges, no matter how much data you add.
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Transformers Explained: The Architecture that changed Modern AI
A beginner-friendly walkthrough of the architecture powering modern AI, from attention to embeddings.
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Can an LLM Predict Crop Disease from Farmer Descriptions?
This piece looks at an LLM for crop diseases and pests: how well a language model can reason about crop problems from a plain-language description alone, with no photo required. A farmer may not describe a crop problem using the language of plant pathology. They may say: “The lower leaves have started turning yellow and…
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Getting Started with Statistics for Machine Learning: What You Actually Need to Know
The statistical concepts that actually matter for machine learning, without the full semester of theory.
