June 23, 2022, 2:29 p.m. | Synced

Synced syncedreview.com

In the new paper Evolution Through Large Models, an OpenAI research team shows that large-scale language models (LLMs) trained to generate modern programming language can suggest intelligent mutations that can be leveraged to realize dramatically improved mutation operators for genetic programming.


The post Intelligent Mutations in Genetic Programming: OpenAI Proposes Evolution Through Large Models first appeared on Synced.

ai artificial intelligence deep-neural-networks evolution genetic programming intelligent language model machine learning machine learning & data science ml openai programming research technology

More from syncedreview.com / Synced

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

Staff Software Engineer, Generative AI, Google Cloud AI

@ Google | Mountain View, CA, USA; Sunnyvale, CA, USA

Expert Data Sciences

@ Gainwell Technologies | Any city, CO, US, 99999