HARMAN, a wholly-owned subsidiary of Samsung Electronics Co., Ltd. focused on connected technologies for automotive, consumer, and enterprise markets, announced that its Digital Transformation Solutions business unit has launched the groundbreaking Healthcare Private Language Model(LLM), known as HealthGPT. 

HealthGPT represents a leap in healthcare solutions by leveraging generative AI to empower healthcare professionals, researchers, and institutions through advanced patient care, medical research, and decision-making.

HealthGPT brings forward all the benefits of a LLM like natural language interaction and learnability, with a strong knowledge base established from a variety of healthcare data sets. 

The model, built using the key principles of responsible AI, has additionally been tested for accuracy and hallucinations using HARMAN’s own automated LLM testing framework and the results were further validated by the healthcare subject matter experts.

HARMAN HealthGPT is a private LLM, providing enterprises with more control over roadmap, privacy, compliance and security issues at optimized cost.

“The business value of generative AI cannot be overstated. Organizations that scale and implement swiftly will see significant competitive advantages, productivity gains and more – but only if they can unlock their data and move from general purpose applications to more specialized, domain-specific applications,” said Nick Parrotta, President – Digital Transformation Solutions & Chief Digital and Information officer at HARMAN.

“HARMAN HealthGPT is an example of our capabilities that will help organizations utilize specific industry trained models to better solve unique problems and add value for customers. With our long-standing AI expertise and ability to develop effective LLMs, we’re equipped to help our clients move past challenging roadblocks and fully capitalize on the exciting promise of generative AI.”

HARMAN is seeing strong early results of the LLM training, and its AI and ML teams are well positioned with an end-to-end, tested framework to fine-tune more private LLMs, beyond the healthcare industry, to solve similar customer problems.