Markdown source

Slides: Under 5 minutes to a deployed LLM endpoint — Audry Hsu, RunPod

Source Video

Under 5 minutes to a deployed LLM endpoint — Audry Hsu, RunPod

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

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.98
• Text source: agent_vision.

Slide text:

Introducing Runpod

The foundational platform for building, running, and scaling custom AI systems.

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.97
• Text source: agent_vision.

Slide text:

Why Runpod Exists

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.92
• Text source: agent_vision.
• OCR decision: ready — Small bullet text and multi-column layout are better suited for OCR.

Slide text:

Serverless

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.89
• Text source: agent_vision.
• OCR decision: ready — Dense UI screenshot and small repository metadata are better handled by OCR.

Slide text:

vLLM

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.96
• Text source: none.
• OCR decision: ready — Code-heavy slide with small monospace text is OCR-suitable.

Hidden Non-Slide Evidence

• `slide-004.jpg` — title_card confidence 0.71; Brand/interstitial card with logo only, not substantive presentation content.
• `slide-007.jpg` — title_card confidence 0.74; End-card / brand logo screen, not a substantive content slide.

Classification audit: raw/sources/slide-ai-classification/slides/ILdE7FaAjVA/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.