Technology

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

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Technology

DaVinci Resolve brings AI animated sub-titles and smarter editing to the...

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Anthropic

Airtel Africa partners SpaceX for Starlink expansion to remote communities

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Anthropic

What founders say about VC funding for 2025

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Anthropic

Honor 400 appears on Geekbench and confirms Snapdragon 7 Gen 3.

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Anthropic

CMF Phone 2 Pro now available in India

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News

OpenAI document explains how to use each ChatGPT Model

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Anthropic

Windows 7 would take a long time to load with a...

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Anthropic

Weekly poll results: The vivo Ultra X200 could have been a...

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News

How to watch NVIDIA CEO Jensen Huang give the Computex keynote

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Week in Review: Apple won’t raise prices –

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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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AI Observer

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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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