As generative AI models evolve, customized test benchmarks and openness are crucial

Andriy Onufriyenko/Getty Images

As generative artificial intelligence (AI) models continue to evolve, industry collaboration and customized test benchmarks will be crucial amid organizations' efforts to establish the right fit for their business. 

This effort will be necessary as enterprises seek out large language models (LLMs) trained on data specific to their verticals, and as countries look to ensure AI models are trained on data as well as principles that are based on their own unique values, according to Ong Chen Hui, assistant chief executive of the business and technology group at Infocomm Media Development Authority (IMDA). 

AI in 2023: A year of breakthroughs that left no human thing unchanged These are the jobs most likely to be taken over by AI AI at the edge: 5G and the Internet of Things see fast times ahead Almost half of tech executives say their organizations aren't ready for AI or other advanced initiatives AI in 2023: A year of breakthroughs that left no human thing unchanged

These are the jobs most likely to be taken over by AI

AI at the edge: 5G and the Internet of Things see fast times ahead

Almost half of tech executives say their organizations aren't ready for AI or other advanced initiatives

Editorial standards Show Comments