Yoav Goldberg Proposes Fine-Tuned Task-Specific Predictors Over Reasoning LLMs

Yoav Goldberg proposed that repetitive tasks may not need reasoning LLMs, suggesting fine-tuned small predictors instead, with decision-tree structures, custom extractors, and deterministic rules like regex, possibly written with agent help.

2026-09-23 ~ 2026-09-23 · 4 related posts

• Yoav Goldberg: For Recurring Tasks, Tune Bespoke Predictors Instead of Always Using Reasoning LLMs — yoavgo · 2026-09-23
• Goldberg Follows Up: Design Bespoke Extractors for Variables in Tailored Predictors — yoavgo · 2026-09-23
• Yoav Goldberg: shape predictor variables and decisions as a decision tree — yoavgo · 2026-09-23
• Yoav Goldberg: some tasks just need deterministic rules — agents can write them — yoavgo · 2026-09-23