Slides: Research to Reality: Bringing Frontier ML Research to Production - Vaidas Razgaitis, Higharc

Source Video

Research to Reality: Bringing Frontier ML Research to Production - Vaidas Razgaitis, Higharc

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: title_card confidence 0.99
Text source: agent_vision.

Slide text:

Research to Reality

Turning frontier ML research into real, shipped features.

Vaidas Razgaitis

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.91
Text source: advanced OCR rapidocr-live/center-82/opencv-adaptive.
OCR decision: ready — Product/UI screenshot with small embedded text that is better handled by OCR.

Slide text:

ESTMMATED IQIAL COST:

000'65,

Buiding data model.

Show mme suppies and cost.

What wouid this cost to buld in the Northeast Division?

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.97
Text source: none.
OCR decision: ready — Two-column diagram with small labels and dense text suitable for OCR.

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

Slide text:

Researchers ≠ production engineers

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.96
Text source: none.
OCR decision: ready — Article-like screenshot with dense small text; OCR is more appropriate than manual transcription here.

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.94
Text source: advanced OCR rapidocr-live/bright-screen/contrast.
OCR decision: ready — Architecture diagram with multiple small labels and low-confidence embedded text; OCR is appropriate.

Slide text:

TOrCU

Repo automations

DDEP blodo

Microservices

MLNokebopke M.models MLstudties +nodels

TBO Re-usable UI components

MONOREPO

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

Slide text:

Getting research to reality is a systems & process problem.

01 Make research legible

02 A monorepo that can receive new research

03 Decomposition as a design problem

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.95
Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
OCR decision: ready — Dense product/UI screenshot with many small text rows and PR metadata; OCR is a better fit than manual transcription.

Slide text:

product #20315:

studloAskAgentV1 flag AI-664: Rename agent feature flags with alpha suffix and add

VRazgsts listure/iront-v1/itudio-Asx/eo-foatur+-flar-ienming: + doveloo: 5 fasi +24 -11. Updated 4w spo

+ Suck: t 1of 10 D Copy tuct **+

#21114 A-701: Ul p4 ghel To orz. Morpod'; 22d

#21113 A-70z Ul compose ar4 traad $211i2 A-700: U1 m#stge buobs ta Gz. Mrged: 2?d Merpod 27d

$21111 Al-69g: U1 primtvos n2d

p21110 AI:698: UI tounduton

$21101 A1·697: U1 rotout docs Coied: 23d

W205 i5 AI-676: 8rahntrust telertety + aproxry fetlrerert Merged'

N20436 Al-653: serrw runbme Co shn2 iorgeo?

LO433 Al:6Sr agtr icomman'srt/cHonl ptckage bucke + pLtorm?wida agtnt docs Bou LAusovrrvoiprs poe pue xns tyoe 4hm sbey onreog uode eieuny:+99.IV sIe] C q4 iuarged. smo Muped?

(nnk) -

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