Choosing Between 4 Open-Source Models Without Running Full Benchmarks — A Matrixy Shortcut
You've got four models on your shortlist. Llama 3 8B. Mistral 7B. Gemma 7B. Mixtral 8x7B. You could queue up a full benchmark suite—run MMLU, HumanEva...
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You've got four models on your shortlist. Llama 3 8B. Mistral 7B. Gemma 7B. Mixtral 8x7B. You could queue up a full benchmark suite—run MMLU, HumanEva...
You're in a room with four people. Each has a different idea of what 'good' means for your model. The compliance officer wants zero false negatives. W...
You built a model selection matrix. Scores in, weights set, winner crowned. Next week you rerun it with the same data and a different model tops the l...
You've run your model selection matrix. Three models are tied at 87—same weighted score, same color band, same shrug from the team. Now what? Most peo...
You open the spreadsheet. Thirty rows. Maybe more. Every model you're evaluating has a row for something — latency, accuracy, cost, fairness, carbon f...
You have done the labor. Interviews, literature review, pilot runs — twelve criteria neatly arranged in your model selec matrix. Then the PM slides a ...
Your staff has two weeks to deliver a prototype. The client wants near-perfect accuracy. The ops group is screaming about latency. You have seen this ...
You have 50 models staring at you. The clock is ticking. The budget is tight. And every AI vendor claims their model is the answer. This is not a hypo...
You built a model selection matrix. Fourteen columns. Eight models. Color-coded weights. You printed it on A3 and nobody looked at it. This bit matter...
You open the spreadsheet and your stomach drops. Thirty rows. Each one a model you spent weeks evaluating. Your team has three weeks to productionize ...
So you have no GPU budget. Maybe you're a student on a laptop, a developer testing an MVP, or a staff that simply can't justify cloud GPU costs yet. T...