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Why you should care about debugging machine learning models

O'Reilly Media - Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.

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Dulling the impact of AI-fueled cyber threats with AI

CIO

Take for instance large language models (LLMs) for GenAI. While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. Artificial Intelligence: A turning point in cybersecurity The cyber risks introduced by AI, however, are more than just GenAI-based.

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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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Exploring the pros and cons of cloud-based large language models

CIO

In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks. Many developers are beginning to leverage LLMs to accelerate the application coding process, so they can meet deadlines more efficiently without the need for additional resources.

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Social Chat launches with $6M to bring brands closer to their customers

TechCrunch

When brands sell through social media and other third-parties, they often spend millions of dollars to advertise on those platforms, yet have little or no knowledge of who their customers actually are. Social commerce startup Social Chat is out to change that. Can social and e-commerce transform the future of the open web?

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Social services provider uses artificial intelligence to provide genuine help

CIO

For Colsubsidio , a non-profit provider of a wide array of social services in Colombia, the recent pandemic underscored the need to respond quickly to a major crisis to diminish the harm felt by communities with limited resources. As a result, data teams exhausted valuable time resolving problems and fixing glitches, and the approximately 1.5

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Achieve ~2x speed-up in LLM inference with Medusa-1 on Amazon SageMaker AI

AWS Machine Learning - AI

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Researchers developed Medusa , a framework to speed up LLM inference by adding extra heads to predict multiple tokens simultaneously.