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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness.

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Generative AI in enterprises: LLM orchestration holds the key to success

CIO

Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance. We think this is a mistake, as the success of GenAI projects will depend in large part on smart choices around this layer.

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How to build a safe path to AI in Healthcare

CIO

This is evident in the rigorous training required for providers, the stringent safety protocols for life sciences professionals, and the stringent data and privacy requirements for healthcare analytics software. To learn more, visit us here. The stakes in healthcare are higher, as errors can have life-or-death consequences.

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Healthcare organizations need a new approach to data management to unlock GenAI’s potential

CIO

From the rise of value-based payment models to the upheaval caused by the pandemic to the transformation of technology used in everything from risk stratification to payment integrity, radical change has been the only constant for health plans. Ask any car enthusiast what it would like to own a Ferrari with a Vespa motor under the hood.

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The Power of Medical Large Language Models (LLMs) in Healthcare

John Snow Labs

What are Medical Large Language Models (LLMs)? Medical or healthcare large language models (LLMs) are advanced AI-powered systems designed to do precisely that. How do medical large language models (LLMs) assist physicians in making critical diagnoses?

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Use cloud computing to accelerate GenAI adoption in healthcare with Microsoft AI

CIO

This alliance can create a tailored package of ready-to-use, scalable infrastructure; a battery of cloud services; in-depth security; health-care specific platforms; and AI expertise. Scalability: Computational power and massive data storage are critical for training and hosting GenAI large language models.

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GenAI use cases that deliver on promises

CIO

There’s widespread agreement that generative artificial intelligence (genAI) has transformational potential. Senior IT management can customize data views and build their own applications with the help of genAI’s analytics capabilities — without having to rely on an overburdened data scientist.