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LLM benchmarking: How to find the right AI model

CIO

But how do companies decide which large language model (LLM) is right for them? LLM benchmarks could be the answer. Factors such as precision, reliability, and the ability to perform convincingly in practice are taken into account. LLM benchmarks are the measuring instrument of the AI world.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. These autoregressive models can ultimately process anything that can be easily broken down into tokens: image, video, sound and even proteins.

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Hippocratic is building a large language model for healthcare

TechCrunch

“Hippocratic has created the first safety-focused large language model (LLM) designed specifically for healthcare,” Shah told TechCrunch in an email interview. But can a language model really replace a healthcare worker? on a hospital safety training compliance quiz.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements.

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EXL’s Insurance LLM transforms claims and underwriting

CIO

As insurance companies embrace generative AI (genAI) to address longstanding operational inefficiencies, theyre discovering that general-purpose large language models (LLMs) often fall short in solving their unique challenges. Claims adjudication, for example, is an intensive manual process that bogs down insurers.

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Beyond ChatGPT: Secret robotics plans and the $38 billion humanoid revolution

CIO

Global competition is heating up among large language models (LLMs), with the major players vying for dominance in AI reasoning capabilities and cost efficiency. OpenAI is leading the pack with ChatGPT and DeepSeek, both of which pushed the boundaries of artificial intelligence.

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Leveraging AMPs for machine learning

CIO

Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. It guides users through training and deploying an informed chatbot, which can often take a lot of time and effort.