Revolutionizing Healthcare with HARMAN’s AI-Driven HealthGPT Model
HARMAN, a Samsung Electronics Co., Ltd. subsidiary specializing in connected technologies for various markets, has unveiled its revolutionary Healthcare Private Language Model (LLM), HealthGPT, through its Digital Transformation Solutions division. HealthGPT is a significant advancement in healthcare solutions, utilizing generative AI to enhance patient care, medical research, and decision-making for healthcare professionals and institutions.
HealthGPT combines the advantages of a LLM, such as natural language interaction and learnability, with a robust knowledge base derived from diverse healthcare data sets. The model adheres to the key principles of responsible AI and has undergone accuracy and hallucination testing using HARMAN’s proprietary automated LLM testing framework. Healthcare experts have further validated the results.
As a private LLM, HARMAN HealthGPT offers enterprises greater control over roadmap, privacy, compliance, and security issues at an optimized cost.
The key benefits of utilizing HARMAN HealthGPT are:
HealthGPT combines the advantages of a LLM, such as natural language interaction and learnability, with a robust knowledge base derived from diverse healthcare data sets. The model adheres to the key principles of responsible AI and has undergone accuracy and hallucination testing using HARMAN’s proprietary automated LLM testing framework. Healthcare experts have further validated the results.
As a private LLM, HARMAN HealthGPT offers enterprises greater control over roadmap, privacy, compliance, and security issues at an optimized cost.
The key benefits of utilizing HARMAN HealthGPT are:
- Improved Clinical Insights: It offers real-time, context-aware clinical insights that assist in decision-making.
- End-to-end LLM Fine-tuning Framework: A comprehensive framework for fine-tuning the Language Model (LLM) to achieve optimal performance.
- Data Generation Framework: A system for generating high-quality customized datasets to further fine-tune the Language Model (LLM) for improved performance.
- Automated LLM Evaluation Framework: A fully automated solution for validating fine-tuned LLMs for output quality, factual correctness, hallucinations, and toxicity.
- Cost Optimization: Advanced deployment techniques using quantization significantly reduce model size and processing costs by up to one-tenth.
- Drug Discovery and Research: It accelerates drug discovery and development by extracting valuable insights from clinical trial data.
“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."
"At HARMAN, it is our mission to help our clients navigate this hurdle and create a competitive advantage long-term. 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,” said Nick Parrotta, President Digital Transformation Solutions & Chief Digital and Information officer at HARMAN."
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