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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
They offered so much promise, but ultimately turned sour. These are the most disappointing ideas since the turn of the ...
From illegal trades to chatbot lawsuits, these examples reveal the operational, legal, and reputational risks behind failed AI deployments.
American enterprises spent an estimated $40 billion on artificial intelligence systems in 2024, according to MIT research. Yet the same study found that 95% of companies are seeing zero measurable ...
Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
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