LG CNS codevelops own inference-optimized large language model with Cohere

LG CNS, in collaboration with artificial intelligence (AI) startup Cohere, has developed an inference-optimized large language model (LLM) boasting over 111 billion parameters. The new LLM model comes just about two months after the two companies introduced a Korean-specialized lightweight model with 7 billion parameters in May. The latest model supports 23 languages, including Korean, English and Chinese, as well as Hebrew and Persian. It has demonstrated superior performance in key areas, such as inferencing, outperforming several leading global models. “LG CNS collaborated with globally-recognized Cohere to develop this inference-type LLM to drive business innovation for local clients handling sensitive data in sectors such as finance and the public sector,” the company said in a press statement. An inference-optimized LLM is a model that uses multiple variables and patterns to infer logical predictions on complex problems. It is considered an essential technology for implementing AI agent services, where AI generates its own responses and executes tasks. The company plans to alloWeiter zum vollständigen Artikel bei Korea Times Weiter zum vollständigen Artikel bei Korea Times