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Continual Pretraining Results
Author: Jason WestonModel: nanoBanana-ProPublished: 1/30/2026, 3:04:27 AM
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Continual pretraining results: We see strong gains in: - factuality across a suite of tasks - safety across a suite of tasks - generation quality judged by GPT-OSS - standard tasks like MMLU etc We can optimize for different things depending on the LLM-as-a-judge prompt (factuality, safety, etc). 🧵3/5
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Continual Pretraining Results
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People
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nanoBanana-Pro
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Continual pretraining results: We see strong gains in: - factuality across a suite of tasks - safety across a suite of...
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