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

Source Video

The 2025 AI Engineering Report — Barr Yaron, Amplify

Method

This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.

Cropped Visible Slides

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Slide text:

best describes your work title? Survey demographics: which option respondents identified as engineers-either software or Al. The largest group of

Woi Software Engincer AI Englneer

Foundor

Management

VP/CEO/CTO

MLor MLOps Engincor

Researcher

Product Manager

Other

Data Sciontist

6% 10% 15% 20%

Aroin 02025

World's Fair AlEngineer Engineering the future of Al

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What techniques are you using to customize your Ai systems? 70%+ of respondents are using RAG.

Few-shot learnlng

RAG

Flne-tunlng

Zero-Shot Loarning indicating widespread preference for parameter-efficient methods. 40% mentioned LoRA/QLoRA,

PretraIning Most popular core training approach is supervised fine-tuning.

oht

10% 20% 301, 601% 70.

Argty A tagranrg suriy! rrot +

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Top newsletters from respondents Top podcasts from respondents

Latent Space (swyx) Latent Space (swyx & Alessio)

The Batch (Andrew Ng) 62 Machine Learning Street Talk (Tim Scarfe)

3 Interconnects (Nathan Lambert) The Cognitive Revolution (Nathan Labenz)

Ahead of Al (Sebastian Raschka) No Priors (Sarah Guo and Elad Gil)

AlphaSignal (Lior Alexander) 5 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)

AmgtityN taginarg Sunn

Hidden Non-Slide Evidence

Classification audit: raw/sources/slide-ai-classification/dense/mQ7_Zje7WKE/audit.json