Markdown source

Slides: When All Context Matters: Extended Cache Augmented Generation - Luis Romero-Sevilla, Orbis

Source Video

When All Context Matters: Extended Cache Augmented Generation - Luis Romero-Sevilla, Orbis

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: other confidence 0.88
• Text source: none.
• Slide text: not surfaced (decorative by AI classifier).

• Recreated text/layout view: open HTML recreation
• AI slide classifier: diagram confidence 0.94
• Text source: none.

• Recreated text/layout view: open HTML recreation
• AI slide classifier: diagram confidence 0.86
• Text source: none.
• Slide text: not surfaced (decorative by AI classifier).

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

Slide text:

https://www.linkedin.com/in/luis-romero-sevilla/

https://www.youtube.com/@lurose5

https://x.com/lurose15

https://lurose.dev/

Hidden Non-Slide Evidence

• `slide-001.jpg` — speaker_stage confidence 0.99; speaker on camera, not a slide

Classification audit: raw/sources/slide-ai-classification/slides/XovaGv4f39A/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.