Google study shows LLMs abandon correct answers under pressure, threatening multi-turn AI systems
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LLMs
Sakana AI’s TreeQuest: Deploy multi-model teams that outperform individual LLMs by 30%
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Crowdstrike Falcon now powers runtime defense in Nvidia’s LLMs
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How much information do LLMs really memorize? Now we know, thanks to Meta, Google, Nvidia and Cornell
Using a clever solution, researchers find GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter.Read More
Stop guessing why your LLMs break: Anthropic’s new tool shows you exactly what goes wrong
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Nvidia says its Blackwell chips lead benchmarks in training AI LLMs
Nvidia is rolling out its AI chips to data centers and what it calls AI factories throughout the world, and…
QwenLong-L1 solves long-context reasoning challenge that stumps current LLMs
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Notion bets big on integrated LLMs, adds GPT-4.1 and Claude 3.7 to platform
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Report: OpenAI is buying AI-powered developer platform Windsurf — what happens to its support for rival LLMs?
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Does RAG make LLMs less safe? Bloomberg research reveals hidden dangers
RAG is supposed to make enterprise AI more accurate, but it could potentially also make it less safe according to…
Liquid AI is revolutionizing LLMs to work on edge devices like smartphones with new ‘Hyena Edge’ model
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Swapping LLMs isn’t plug-and-play: Inside the hidden cost of model migration
Swapping large language models (LLMs) is supposed to be easy, isn’t it? After all, if they all speak “natural language,”…