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CycleCore Technologies

@CycleCoreTech

CycleCore Technologies reposted

1/5 New work from CycleCore Technologies: “Task-Specialized Micro Language Models Outperform Larger Zero-Shot Models on Structured Data Extraction” We find that fine-tuned 135M–360M-parameter models significantly outperform larger zero-shot baselines on strict JSON extraction,…

CycleCoreTech's tweet image. 1/5
New work from CycleCore Technologies:

“Task-Specialized Micro Language Models Outperform Larger Zero-Shot Models on Structured Data Extraction”

We find that fine-tuned 135M–360M-parameter models significantly outperform larger zero-shot baselines on strict JSON extraction,…
CycleCoreTech's tweet image. 1/5
New work from CycleCore Technologies:

“Task-Specialized Micro Language Models Outperform Larger Zero-Shot Models on Structured Data Extraction”

We find that fine-tuned 135M–360M-parameter models significantly outperform larger zero-shot baselines on strict JSON extraction,…
CycleCoreTech's tweet image. 1/5
New work from CycleCore Technologies:

“Task-Specialized Micro Language Models Outperform Larger Zero-Shot Models on Structured Data Extraction”

We find that fine-tuned 135M–360M-parameter models significantly outperform larger zero-shot baselines on strict JSON extraction,…
CycleCoreTech's tweet image. 1/5
New work from CycleCore Technologies:

“Task-Specialized Micro Language Models Outperform Larger Zero-Shot Models on Structured Data Extraction”

We find that fine-tuned 135M–360M-parameter models significantly outperform larger zero-shot baselines on strict JSON extraction,…


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