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Harman announced this week that it has developed a private large language model trained on a variety of healthcare data sets. WHY IT MATTERSThe Samsung Electronics subsidiary's advanced deployment techniques using quantization to reduce model size and processing costs by up to one-tenth, according to Harman. The artificial intelligence model uses natural language processing to help healthcare organizations extract insights from their data, including clinical trial data. The company says HealthGPT offers: Real-time, context-aware clinical insights. An automated framework for fine-tuning and validating the LLM and outputs. Customized datasets to further fine-tune the model for enhanced performance. The India-based company says it tested the model for accuracy and hallucinations using its LLM testing framework and then results were validated by healthcare subject matter experts. THE LARGER TRENDSamsung gained access to 8,000 software designers and engineers working on cloud-based consumer

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