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| ▲ | foota 6 hours ago | parent | next [-] |
| Yes, sort of. Generally you can measure the pass rate on a benchmark given a fixed compute budget. A sufficiently smart model can hit a high pass rate with fewer tokens/compute. Check out the cost efficiency on https://artificialanalysis.ai/ (say this posted here the other day, pretty neat charts!) |
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| ▲ | torginus 6 hours ago | parent | prev | next [-] |
| This is the only correct take. The only metric that matters is cost per desired outcome. |
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| ▲ | genericresponse 6 hours ago | parent | prev | next [-] |
| Statistically. Do many trials and measure how often it succeeds/fails. |
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| ▲ | dns_snek 6 hours ago | parent | prev | next [-] |
| Repetition and statistics, if you have $1000++ you didn't need anyway. |
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| ▲ | throwuxiytayq 6 hours ago | parent | prev [-] |
| It's much easier to measure a language model's intelligence than a human's because you can take as many samples as you want without affecting its knowledge. And we do measure human intelligence. |
