Jan. 11, 2024, 7:52 p.m. | /u/BootstrapGuy

Machine Learning www.reddit.com

This is the unfortunate situation when you build "thin wrapper" products on the top of foundational models.

Last year we built a custom Stable Diffusion pipeline for our client, did a lot of experimentation over 2 months, figured out custom solutions for edge cases and shipped a pipeline that could convert group photos to Christmas gift cards.

Today, Alibaba launched ReplaceAnything and I could build the same thing with maybe 10% quality drop in a minute (!) as our team …

build cases client diffusion edge experimentation foundational models machinelearning pipeline products solutions stable diffusion will wrapper

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Business Data Scientist, gTech Ads

@ Google | Mexico City, CDMX, Mexico

Lead, Data Analytics Operations

@ Zocdoc | Pune, Maharashtra, India