Technology

Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost,...

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Alibaba Cloud’s Tongyi Lingma Artificial Intelligence Programmer is fully online

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Samsung Galaxy S25 could be subject to an unwelcome increase in...

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News Roundup: Meta’s Content Shakeup, Nvidia Gaming Revolution, and more

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Nvidia CEO teases consumer CPU plans following Project Digits, GB10 unveiling...

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Technology

Biden said to weigh global limits on AI exports in 11th-hour...

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Technology

A New York legislator is trying to salvage the California AI...

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Microsoft’s new rStar-Math technique upgrades small models to outperform OpenAI’s o1-preview...

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Diffbot’s AI doesn’t guess

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Meet China’s top 6 AI unicorns: Who are leading the AI...

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Microsoft releases powerful Phi-4 model on Hugging Face as a fully...

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Education

ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

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Understanding the Dual Nature of OpenAI

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Lightricks Unveils Lightning-Fast AI Video

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Education

Fine-tuning vs. in-context learning: New research guides better LLM customization for...

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ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

Large language models are now central to various applications, from coding to academic tutoring and automated assistants. However, a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time. This creates a fundamental challenge because the language models cannot...