---
title: "Slides: The 2025 AI Engineering Report — Barr Yaron, Amplify"
category: "slides"
video_id: "mQ7_Zje7WKE"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: The 2025 AI Engineering Report — Barr Yaron, Amplify

## Source Video
[The 2025 AI Engineering Report — Barr Yaron, Amplify](https://www.youtube.com/watch?v=mQ7_Zje7WKE)

## 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/mQ7_Zje7WKE/slide-001.jpg]]

OCR text:

> INNOVATIONPARTNER
> aws
> PLATINUMSPONSORS
> Graphite
> WWindsurf
> MongoDB
> daily
> augment code
> Workos

![[assets/slides/mQ7_Zje7WKE/slide-002.jpg]]

OCR text:

> AlEnginc
> World'sFair
> 2025 Al Engineering Survey
> June5.2025
> Worl
> Amplify
> BARRYARON
> Amplify
> Microsoft
> Partner

![[assets/slides/mQ7_Zje7WKE/slide-003.jpg]]

OCR text:

> A
> Pear es wae Barr Yaron
> World's Fair Pe a re Partner @ Amplify
> a : aa,
> ae a Lp cere
> > plifypartners.com
> ' me 4 2
> re) - -_
> . Pi
> > )
> ft ! J :
> - re =. ; =
> aws STATE OF AI ENGINEERING 2025

![[assets/slides/mQ7_Zje7WKE/slide-004.jpg]]

OCR text:

> A
> 7 Survey demographics: which option lee gee eeu fee
> best describes your work title? engineers — either software
> or Al.
> ae Sottware Engineer ae
> cc : cd attngincer ee
> rouncer
> : Menegement
> _ Pa verceo/cro [as
> MiorMLOpe Engineer
> Receorcher
> Product Meneger
> t Other PY
> data sclenvat
> CE Engineering the future of Al

![[assets/slides/mQ7_Zje7WKE/slide-005.jpg]]

OCR text:

> ad an Microsoft _ Gy sa Chie
> 7
> AT Taare
> nasa | folate koe ar] 1g | _ de | World's Fair |
> an | braintrust a Neodgj
> cel | world Farr| an [Words Fair

![[assets/slides/mQ7_Zje7WKE/slide-006.jpg]]

OCR text:

> Al Engines
> mA Mieceseis | rer Re K
> ne
> Ee tad ; a a ad ;
> | World's Fair | ee eR | '
> loyeel aL age l=} Ke Nal=roy- Ke
> ‘a cs {og a peamenenedl | Ce a

![[assets/slides/mQ7_Zje7WKE/slide-007.jpg]]

OCR text:

> UA.
> What techniques are you using to
> customize your Al systems? 70%+ of respondents are
> using RAG.
> on,
> ae
> —-
> 40% mentioned LoRA/QLORA,
> indicating widespread preference for
> Bere:Bhot hearing parameter-efficient methods.
> Most popular core training approach is
> Breteaions supervised fine-tuning.
> om ff

![[assets/slides/mQ7_Zje7WKE/slide-008.jpg]]

OCR text:

> g
> % of "espondents who . se |
> Say they'te using Oe ge rane: ;
> TTT MORE AR or age ee ~ “ 2
> Loe, Sap tc gees sing ar ae . a ;
> dl re
> i oe ;
> _~ re Sad mE ce 7
> - Sa a Be ;
> World'sFair| 9° me
> “oo ie aa a
> £4)% Sta we mee ee mw Be pa
> fay a a a
> " a - ata Cae ead
> . nd
> ™ s Piel
> fal te ee —
> = ~ <3 Z
> ™ or ra
> Maho veme generat Vidto Caner: ; j _
> * Text generation.’ LLM Image generators —

![[assets/slides/mQ7_Zje7WKE/slide-009.jpg]]

OCR text:

> Uh.
> Top newsletters from respondents Top podcasts from respondents
> “ Latent Space (swyx) “ Latent Space (swyx & Alessio)
> “ The Batch (Andrew Ng) * Machine Learning Street Talk (Tim Scarfe)
> ™ Interconnects (Nathan Lambert) ” The Cognitive Revolution (Nathan Labenz)
> “ Ahead of Al (Sebastian Raschka) “ No Priors (Sarah Guo and Elad Gil)
> * AlphaSignal (Lior Alexander) * This Week in Machine Learning/Al (Sam C.)
> * SemiAnalysis (Dylan Patel) ” Gradient Dissent (Lukas Biewald)
> * Eugene Yan’s Newsletter * Practical Al (Dan Whitenack)
> “ Ben's Bites (Ben Tossell) “ The Gradient (Daniel Bashir)
> ™ Import Al (Jack Clark) ” Weaviate Podcast (Connor Shorten)
> ” The Neuron (Noah Edelman) ” Robot Brains (Pieter Abbeel)

![[assets/slides/mQ7_Zje7WKE/slide-010.jpg]]

OCR text:

> Microsoft Wor AIF aws
> World'sFair AIEngineer World'sFair AIEngineer
> braintrust neo4j
> World'sFair AIEngineer se World'sFair AIEngineer

## 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.