Jan. 27, 2024, 2:43 a.m. | Matthew Harris

Towards Data Science - Medium towardsdatascience.com

A few personal lessons learned from developing LLM applications

Source DALL·E 3 prompted with “Operationalizing LLMs, watercolor”

It’s been fun posting articles exploring new Large Language Model (LLM) techniques and libraries as they emerge, but most of the time has been spent behind the scenes working on the operationalization of LLM solutions. Many organizations are working on this right now, so I thought I’d share a few quick thoughts about my journey so far.

Prototypes are Easy … Production is, …

ai ai for good applications articles dall data science fun language language model large language large language model lessons learned libraries llm llm applications llms notes-from-industry organizations solutions thoughts watercolor

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

Data Engineer - AWS

@ 3Pillar Global | Costa Rica

Cost Controller/ Data Analyst - India

@ John Cockerill | Mumbai, India, India, India