May 5, 2023, 1:36 a.m. | /u/splatonline9

Machine Learning www.reddit.com

Making apps based on foundational LLMs feels like it should have a tech stack "pattern" - a commonly used set of tools that most of the apps use unless there's a unique reason to deviate.

What tech stacks do people here use?

The link below has some suggestions, but it would be great to know what people use in practice. Are these ones good?

[https://gradientflow.com/building-llm-powered-apps-what-you-need-to-know/](https://gradientflow.com/building-llm-powered-apps-what-you-need-to-know/)

app apps llm llms machinelearning making people set stack stacks tech tech stack tech stacks tools

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

Sr. VBI Developer II

@ Atos | Texas, US, 75093

Wealth Management - Data Analytics Intern/Co-op Fall 2024

@ Scotiabank | Toronto, ON, CA