News

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

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ChatGPT now handles reminders and to-dos.

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Samsung teases Bixby AI makeover

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Google tests simpler Circle to Search

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Google Photos removing the ‘Memories tab’ on Android

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Meta accused of using pirated torrents to train its AI

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Meta AI’s Llama Language Model modded to run in old Xbox...

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OpenAI presents a new blueprint for AI regulation that is its...

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Mercedes-Benz Virtual Assistant uses Google Conversational AI agent

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Sa2VA: A Unified AI Framework for Dense Grounded Video and Image...

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Natural Language Processing

What are Small Language Models (SLMs)?

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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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