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48 posts
Showing 1–5 of 5 · #model-selection
How to evaluate a new AI model in two weeks: a practical review frameworkMODELS

How to evaluate a new AI model in two weeks: a practical review framework

Launch-day benchmarks tell you little about your workload. A day-by-day plan for testing a new model on real tasks and reaching a defensible decision.

JLJonas LindNov 07 · 6 min
Choosing a model is a budget decision, not a leaderboard decisionMODELS

Choosing a model is a budget decision, not a leaderboard decision

Latency, cost per task and the cost of failure matter more than the top line of any chart. A worksheet you can reuse for every model decision.

JLJonas LindNov 04 · 6 min
What do reasoning tokens actually cost you? How to measure and control themTESTS

What do reasoning tokens actually cost you? How to measure and control them

Hidden thinking tokens are billed like output and vary wildly by task. A practical audit to find where reasoning pays off and where it is burning money.

RKRafael KimOct 07 · 6 min
Small models, big jobs: where tiny models quietly winMODELS

Small models, big jobs: where tiny models quietly win

Classification, extraction, routing and on-device work. The jobs where a small model matches a big one at a fraction of the cost, and how to prove it.

RKRafael KimSep 17 · 6 min
How to read a model card criticallyMODELS

How to read a model card critically

Model cards are marketing and documentation at once. A checklist for separating the useful facts from the flattering ones.

SPSana PatelAug 26 · 6 min

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