Posts tagged "ai."
A worked example of how a single sentence gets broken into tokens before an AI model ever reads it — and why the split isn't where you'd guess.
Passing as human was never the right goal for a support chatbot. Here's a better test: would you make a decision based on this answer without double-checking it?
Plain-English translations of the AI terms that show up everywhere and get explained nowhere — agentic, multimodal, fine-tuning, guardrails, and more.
Everything an AI model 'knows' comes from what it was trained on. Here's what that data actually is, and why it can never fully cover what you need it to.
Parameter count gets used as shorthand for how 'smart' an AI model is. Here's why that shorthand breaks down for most real-world questions.
AI models don't have a built-in way to know what they don't know. Here's what actually happens when a question falls outside what a model was trained on.
The most impressive AI demo and the most useful production chatbot are usually optimizing for different things. Here's why boring, predictable AI wins in practice.
Most 'open source' AI models aren't open source in the traditional software sense. Here's what's actually being shared, and what isn't.
Ask two different AI models the same question and you can get two different answers. Here's why — and why it matters less than you'd think for a grounded chatbot.
A plain explanation of the 'temperature' setting behind AI models — what it actually changes, and why the most predictable setting isn't always the most accurate one.
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