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Artificial Intelligence – A Guide for Thinking Humans

Henrik Warne

I really enjoyed reading Artificial Intelligence – A Guide for Thinking Humans by Melanie Mitchell. The author is a professor of computer science and an artificial intelligence (AI) researcher. However, at the same time I don’t see the network as intelligent in any way. million labeled pictures.

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 During the training of Llama 3.1

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Dulling the impact of AI-fueled cyber threats with AI

CIO

While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI.

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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Walsh acknowledges that the current crop of AI coding assistants has gotten mixed reviews so far.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process.

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AI coding agents come with legal risk

CIO

Media outlets and entertainers have already filed several AI copyright cases in US courts, with plaintiffs accusing AI vendors of using their material to train AI models or copying their material in outputs, notes Jeffrey Gluck, a lawyer at IP-focused law firm Panitch Schwarze. How was the AI trained?

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Judgment Day is coming… for AI

CIO

Artificial intelligence has great potential in predicting outcomes. Calling AI artificial intelligence implies it has human-like intellect. Perhaps it should be considered artificial knowledge, for the data and information it collects and the wisdom it lacks. But judgment day is coming for AI.