By Krystal Hu and Anna Tong (Reuters) -Artificial intelligence companies like OpenAI are seeking to overcome unexpected delays and challenges in the pursuit of ever-bigger large language models by developing training techniques that use more human-like ways for algorithms to "think".

OpenAI and rivals are trying to overcome delays and challenges for making larger and larger language models by using human-like ways for algorithms to “think”

Ilya Sutskever, co-founder of AI labs Safe Superintelligence (SSI) and OpenAI, told Reuters recently that results from scaling up pre-training - the phase of training an AI model that uses a vast