Slides: Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel

Source Video

Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel

Relationship To World's Fair 2026

These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

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Extracted Slides

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OCR text:

Snorkel

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Task Fidelity Scaling Laws

Fine-tuning onhigh-quality tasks

dramatically outperforms fine-tuning on

low-quality tasks

Kobie Crawford,Developer Advocate

AlEngineer

EUROPE

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OCR text:

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Task Fidelity Scaling Laws

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Fine tuning on high quauity tasks 7

dramaticaily outcerforms fine tuning on

low-quality tasks

Koite Crawford, Developer Advocate

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| a Google DeepMind

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OCR text:

Does Task Quality Actually Matter?

e Almodel capabilities are fundamentally bounded by training data quality

— this holds regardless of model architecture, scale, or agent harness.

p ee . e For agentic benchmarks and evals, task quality is data quality

pe " — but the field currently lacks empirical evidence that curating higher-quality tasks

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Can we measure the impact of task quality on model performance?

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OCR text:

S&S SnorkeJ The Frontier A! Data Lab

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