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Piero Molino Oct 1, 2026
Task data and fine-tuning drove the performance gains Read evidence ↗ IN CONTEXT fine-tuning efficacy 1 viewpoints
01 Task data and fine-tuning drove the performance gains Piero Molino 2026-10-01 Equal sectors are reading positions, not rankings.
01 Task data and fine-tuning drove the performance gains Piero Molino · 2026-10-01 Showing 1–1 of 1 viewpoints · Newest sources first
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Task data and fine-tuning drove the performance gains Piero Molino says the vast majority of value in his experiments came from data for the task and from fine-tuning after training. He describes the base model as more or less an independent variable.
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Piero Molino · Oct 1, 2026
Piero Molino on AI in Games Original excerpt
The vast majority of the value was coming from the data for the task. The base model was more or less an independent variable. The actual effect was coming from the fine-tuning and the increased performance that you get after post-training. Source & context
Publication dates describe the sources, not changes in belief.