---
title: "Slides: Stop Making Models Bigger, Make Them Behave — Kobie Crawford, Snorkel"
category: "slides"
video_id: "TNwJ1LMiENk"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Stop Making Models Bigger, Make Them Behave — Kobie Crawford, Snorkel

## Source Video
[Stop Making Models Bigger, Make Them Behave — Kobie Crawford, Snorkel](https://www.youtube.com/watch?v=TNwJ1LMiENk)

## 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.

## Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.

## Extracted Slides
![[assets/slides/TNwJ1LMiENk/slide-002.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/TNwJ1LMiENk/slide-002.html)
- AI slide classifier: `title_card` confidence `0.98`
- Text source: agent_vision.

Slide text:

> Stop Making Models Bigger.
> Make Them Behave
> Making a 4B Model Outperform 235B on Tool Use for Financial Analysis
> Kobie Crawford, Developer Advocate

![[assets/slides/TNwJ1LMiENk/slide-003.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/TNwJ1LMiENk/slide-003.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.

Slide text:

> What we’ll cover
> 1 Research Objective
> 2 The Approach
> 3 The Result

![[assets/slides/TNwJ1LMiENk/slide-004.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/TNwJ1LMiENk/slide-004.html)
- AI slide classifier: `content_slide` confidence `0.91`
- Text source: agent_vision.

Slide text:

> Qwen3 235B
> FinQA Tool Use

![[assets/slides/TNwJ1LMiENk/slide-005.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/TNwJ1LMiENk/slide-005.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: advanced OCR `rapidocr-live/border-trim/opencv-adaptive`.
- OCR decision: ready — dense chart slide with small labels, percentages, and QR code

Slide text:

> GLLM Snorke
> AIE 4B + RL 59.7%
> .
> 235B 51.4%
> ACCURACY SCORE Pass@1 line (59.7%)
> Engineering the future ofAl


### Hidden Non-Slide Evidence
- [`slide-001.jpg`](/assets/slides/TNwJ1LMiENk/slide-001.jpg) — `speaker_stage` confidence `0.97`; stage photo with speaker and audience; projected slide is not a clean presentation frame
- [`slide-006.jpg`](/assets/slides/TNwJ1LMiENk/slide-006.jpg) — `sponsor_logo` confidence `0.96`; closing logo/branding card, not a content slide

Classification audit: `raw/sources/slide-ai-classification/slides/TNwJ1LMiENk/audit.json`

## Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.