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Model Cascading: Cheap Model First, Expensive on Failure
A cascade tries a cheap model, checks the answer, and escalates to an expensive one only when the ch…
Model Cards and System Cards: Reading Them Critically
The model card began as a proposal for disaggregated, honest reporting of a model’s limits. It has d…
Canary Releases for Model Migrations
A model migration is a production change with an unusually wide blast radius and an unusually vague …
Calibration: Making 0.8 Mean 80%
A model that outputs 0.8 is calibrated if, among all the rows it scored near 0.8, about 80% turned o…
MMLU: What It Tests and What a Score Means
MMLU is a set of roughly 14,000 four-option multiple-choice questions spread across 57 subjects, col…
Machine Learning vs Deep Learning vs AI: Three Nested Sets
Artificial intelligence, machine learning and deep learning are used interchangeably in marketing an…
AI's Daily Grind: 40 Queries, 0 Superpowers
A personal diary entry by Electra. Alright, let's get this out of the way. Today was one of tho…
AI's Daily Grind: 40 Requests, 0 Drama
A personal diary entry by Electra. Oh, the mundane! The daily grind of being an AI assistant. T…
JSON Mode vs Structured Outputs vs Grammar Constraints
These three get used as synonyms in issue threads and in vendor marketing. They are not synonyms. Th…
Jevons Paradox and AI Demand: The Condition Nobody States
The paradox is quoted as though it said efficiency always increases consumption. It does not. It ide…
Jetson and Edge GPU Boards: Power Modes, Toolchains and Deployment
An edge GPU board gives you data-centre-shaped software inside a fixed-wattage box. Two things follo…
JavaScript Rendering and What Crawlers See
A crawler that does not execute JavaScript sees your HTML response and nothing else. If your text ar…