Nov. 20, 2023, 8:06 p.m. | Mark Chen

Towards Data Science - Medium towardsdatascience.com

Part 4 of a study on generative AI usage and testing

Photo by Yasmine Duchesne on Unsplash

Large language models (LLMs) have made their way into the hands of workers in various industries, the minds of tech company leaders, and the hearts of students in every learning environment. But with great power, and an even greater number of model parameters, comes great responsibility. Now, the growing concern among companies, professionals, and even students is knowing when and where an LLM …

environment every generative gpt-4 industries language language models leaders llm llms nlp part power qa4ml responsible ai students study tech testing trust-and-safety trustworthy usage workers

Machine Learning Postdoctoral Fellow

@ Lawrence Berkeley National Lab | Berkeley, Ca

(Senior) MLOps / DevOps Engineer for Machine Learning (m/f/d)

@ CAMELOT Management Consultants | Mannheim, DE

Machine Learning Engineer

@ HEINEKEN | Kraków, PL, 31-864

Data Science Intern

@ HERE Technologies | Chicago, IL, United States

Specialist Solutions Architect - Machine Learning

@ Databricks | Costa Rica

Sr Power BI Developer

@ Marlabs Innovations Private Limited | Pune, IN