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Models — smaller, faster, sharper Series' Articles
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Compress a model to a quarter of its size and its smarts barely drop
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Aug 3
Compress a model to a quarter of its size and its smarts barely drop
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machinelearning
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performance
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ai
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6 min read
Taking a small AI's accuracy from 42% to 84% — and on some tasks, level with the giants
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Aug 3
Taking a small AI's accuracy from 42% to 84% — and on some tasks, level with the giants
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machinelearning
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ai
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7 min read
The AI that was smart on the bench suddenly started making mistakes in production
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Aug 3
The AI that was smart on the bench suddenly started making mistakes in production
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machinelearning
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testing
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devops
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ai
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7 min read
The "97% improvement" I threw away
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Aug 3
The "97% improvement" I threw away
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machinelearning
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testing
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ai
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7 min read
"Add context and the model gets smarter" was half a lie
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Aug 3
"Add context and the model gets smarter" was half a lie
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llm
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testing
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ai
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9 min read
I cut the bottom-rank rate from 64% to 24%, and held the top-rank loss to 12pt
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Aug 3
I cut the bottom-rank rate from 64% to 24%, and held the top-rank loss to 12pt
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machinelearning
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testing
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performance
#
ai
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9 min read
Swahili from 0% to 30%. But the value wasn't the score — it was that the failures changed
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Aug 3
Swahili from 0% to 30%. But the value wasn't the score — it was that the failures changed
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machinelearning
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testing
#
ai
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11 min read
Let the AI pick a translation better than the "right answer"
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Aug 3
Let the AI pick a translation better than the "right answer"
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machinelearning
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testing
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ai
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10 min read
A small specialist drew level with the strongest model in service
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Aug 3
A small specialist drew level with the strongest model in service
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machinelearning
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ai
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8 min read
Let another AI write your teacher data
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Aug 3
Let another AI write your teacher data
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machinelearning
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ai
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12 min read
Generation speed is decided by the byte count of the weights, not the parameter count
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Aug 3
Generation speed is decided by the byte count of the weights, not the parameter count
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machinelearning
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performance
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testing
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ai
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7 min read
A general-purpose model is too wasteful a vessel for subtitles
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Aug 3
A general-purpose model is too wasteful a vessel for subtitles
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machinelearning
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devops
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llm
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18 min read
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