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fine-tuning efficacy Einen Standpunkt auswählen und das Originalgespräch nachverfolgen.
Piero Molino 1. Okt. 2026
Task data and fine-tuning drove the performance gains Quellenevidenz lesen ↗ IM KONTEXT fine-tuning efficacy 1 ausgedrückte Meinungen
01 Task data and fine-tuning drove the performance gains Piero Molino 2026-10-01 Gleich große Sektoren dienen der Orientierung, nicht der Rangfolge.
01 Task data and fine-tuning drove the performance gains Piero Molino · 2026-10-01 Standpunkte 1–1 von 1 · Neueste Quellen zuerst
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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 · 1. Okt. 2026
Piero Molino on AI in Games Originalauszug
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. Quelle & Kontext
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