LLMs Produce 'Fluent Nonsense' When Operating Beyond Their Training Bounds

LLMs Produce ‘Fluent Nonsense’ When Operating Beyond Their Training Bounds

Researchers at Arizona State University have released a new study challenging the idea that Chain-of-Thought (CoT) reasoning in Large Language Models (LLMs) indicates genuine intelligence.…

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2025 Checklist for Teams Transcribing Customer Calls: GDPR & EU AI Act (Sponsored)

2025 Checklist for Teams Transcribing Customer Calls: GDPR & EU AI Act (Sponsored)

By 2025, teams that transcribe customer calls encounter legal and ethical responsibilities beyond operational tasks. The GDPR and EU AI Act influence how voice data…

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Nvidia Unveils Nemotron-Nano-9B-v2: A Compact, Open Model with Toggle On/Off Reasoning

Nvidia Unveils Nemotron-Nano-9B-v2: A Compact, Open Model with Toggle On/Off Reasoning

Small AI models are gaining traction. Following the release of an AI vision model small enough for smartwatches by MIT spinoff Liquid AI and another…

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Hugging Face: 5 Ways Enterprises Can Reduce AI Costs Without Compromising Performance

Hugging Face: 5 Ways Enterprises Can Reduce AI Costs Without Compromising Performance

Enterprises often believe AI models inherently need substantial computing power, leading them to seek out more resources.  Sasha Luccioni from Hugging Face suggests a shift…

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London Cybersecurity Startup Innerworks Secures €3.7 Million to Combat AI Fraud

London Cybersecurity Startup Innerworks Secures €3.7 Million to Combat AI Fraud

Innerworks, a cybersecurity startup in London specializing in Synthetic Threat Intelligence, has secured a €3.7 million ($4 million) seed funding round to advance its AI-driven…

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Designing Feedback Loops: Enhancing LLMs to Improve Continuously

Designing Feedback Loops: Enhancing LLMs to Improve Continuously

Large language models (LLMs) excel at reasoning, generating, and automating, but transforming a demo into a sustainable product requires the system to learn from actual…

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