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Revolutionizing Healthcare: Exploring the Impact and Future of Large Language Models in Medicine

Unite.AI

Medical Licensing Examination-style questions. For instance, the reliance on vast internet data sources for model training, while beneficial in some contexts, may not always be appropriate or reliable for medical purposes. LLMs must not only understand this complexity but also keep up with the latest medical knowledge and guidelines.

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Understanding Semantic Layers in Big Data

Unite.AI

Healthcare: Patient Data Analysis Hospitals and healthcare providers deal with vast amounts of patient data, including medical records, lab results, and treatment histories. A semantic layer in a healthcare data system can standardize medical terms and patient data across various departments.

Big Data 147
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Peter Wang, CEO & Co-Founder of Anaconda – Interview Series

Unite.AI

Prior to founding Anaconda (formerly Continuum Analytics), Peter spent 15 years in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging.

Python 264
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How OpenAI is Shaping the Future of These 6 Industries

ODSC - Open Data Science

Education and Learning Over the pandemic, students across the globe moved on to online platforms to continue studying. OpenAI was integrated into online learning platforms as a way to facilitate better learning conditions for students. At present, OpenAI is being used within finance to reduce the workload of mundane tasks.

OpenAI 98
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Six Industries That Can Benefit From Using Large Language Models

ODSC - Open Data Science

Finance There are plenty of ways that you can use large language models in finance. One of the more common uses for large language models in healthcare has been with medical diagnosis, using LLMs to analyze medical records and to help diagnose illnesses.

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Researchers from USC and Microsoft Propose UniversalNER: A New AI Model Trained with Targeted Distillation Recognizing 13k+ Entity Types and Outperforming ChatGPT’s NER Accuracy by 9% F1 on 43 Datasets

Marktechpost

As a result, instruction tuning has gained popularity as a method for condensing LLMs into more affordable and transparent student models. These student models have shown convincing skills to mimic ChatGPT, as Alpaca and Vicuna showed. LLaMA and Alpaca score badly on this benchmark (around 0 F1) on zero-shot NER.

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7 Leading Universities With Data Analytics Degrees Coming to ODSC East

ODSC - Open Data Science

The Data Analytics Sequence is focused on helping BC’s MBA students develop these skills through expert-taught courses with a strong emphasis on hands-on practice with essential tools like R, Python, SQL, and Tableau. One of the highlights of the program is the experiential learning project that all students complete.