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A Deep Technical Dive into Next-Generation Interoperability Protocols: Model Context Protocol...

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GenCast predicts weather and the risks of extreme conditions with state-of-the-art...

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Education

Fast-learning robots: 10 Breakthrough Technologies 2025

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Generative AI search: 10 Breakthrough Technologies 2025

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Are We Ready for Multi-Image Reasoning? Launching VHs: The Visual Haystacks...

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Natural Language Processing

Small language models: 10 Breakthrough Technologies 2025

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Unlock the Future: AI Agents and LLMs at Chatbot Conference 2024

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Google DeepMind at NeurIPS 2024

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How to Evaluate Jailbreak Methods: A Case Study with the StrongREJECT...

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Into The Weeds of Artificial Intelligence

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Introducing Gemini 2.0: our new AI model for the agentic era

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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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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...