Slides: Using OSS models to build AI apps with millions of users — Hassan El Mghari

Source Video

Using OSS models to build AI apps with millions of users — Hassan El Mghari

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

2026 06 30 hassan el mghari the missing layer design taste in ai agents stop letting your agents ship ugly uis — The Missing Layer: Design Taste in AI Agents // Stop Letting Your Agents Ship Ugly UIs

Extracted Slides

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: advanced OCR rapidocr-live/bright-screen/contrast.
OCR decision: ready — dense multi-column agenda text is better suited for OCR

Slide text:

Agenda Introduction Section 1

Who l am 04

Together.ai 05

AIE Build Demos Section 2 06

My Al apps 08

Architecture of a typical app 09

Tech stack 10

My Process Section 3

My Advice Section 4

Thanks for coming

aws

Hidden Non-Slide Evidence

`slide-001.jpg` — speaker_stage confidence 0.99; speaker on stage; not a readable slide
`slide-003.jpg` — title_card confidence 0.96; closing thanks card; not substantive content
`slide-004.jpg` — sponsor_logo confidence 0.99; logo/sponsor card; not substantive content

Classification audit: raw/sources/slide-ai-classification/slides/gcseUQJ6Gbg/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.