LLMs easily exploited using run-on sentences, bad grammar, image scaling

[ad_1] A series of vulnerabilities recently revealed by several research labs indicate that, despite rigorous training, high benchmark scoring, and claims that artificial general intelligence (AGI) is right around the corner, large language models (LLMs) are still quite naïve and easily confused in situations where human common sense and healthy suspicion would typically prevail. For…

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Mixed signals, on a power budget: Intelligent low-power analog in MCUs

[ad_1] It goes without saying that battery-powered devices are sensitive to power draw, especially during periods of inactivity. One such use case is in sensor nodes or portable sensors—these devices passively monitor a specific condition. When the threshold is exceeded, they trigger an alarm or log the event for further analysis. Since most devices incorporate…

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Australia’s Large Language Model Landscape: Technical Assessment

[ad_1] Key Points No flagship, globally competitive, locally developed LLM (such as GPT-4, Claude 3.5, LLaMA 3.1) has yet emerged from Australia. Australian research and commerce currently rely primarily on international LLMs, which are frequently used but have measurable limitations on Australian English and cultural context. Kangaroo LLM is the only major open-source, locally developed…

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