How toAgents & ToolsThe Neuron · 2h ago
How to evaluate new AI models cost effectively
Tech reviewer Corey Noles outlines a practical testing methodology to evaluate new language models using custom real world work samples for pennies. The procedure checks output accuracy, word limit compliance, logic, and hallucination tendencies across coding, writing, and math tasks.
Try it yourself
- 1Access the target model via an aggregate provider or developer playground to avoid heavy upfront commitment.
- 2Assemble a small suite of test challenges matching your real workflows, including strict formatting constraints, math problems, and coding tasks.
- 3Include a trick prompt containing a false premise to check if the model catches fabrications instead of hallucinating.
- 4Evaluate failures objectively by counting rule violations, verifying code execution, and checking mathematical calculations.
Corey NolesInception Labs
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