Large language models (LLMs) are getting smarter, but they’re also hitting a wall: handling long pieces of text is slow and computationally expensive. Traditional attention mechanisms—the core of how AI processes and remembers information—struggle to scale efficiently, making models costly to train and run. Now, researchers from DeepSeek-AI and Peking University have introduced a game-changing approach called Natively Sparse Attention...
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The rise of large language models (LLMs) has been nothing short of transformative. These AI systems excel at complex reasoning,...
Microsoft's latest Windows 11 update, KB5051987, has disrupted functionality for users, particularly impacting File Explorer, the main application for accessing...
With U.S. markets closed on Monday for Presidents' Day, global investors turned to other major markets for direction. Asian equities...
Etex, a global manufacturer of sustainable building materials, has extended its collaboration with Cognizant to integrate artificial intelligence (AI) and...
Rossum, a provider of intelligent document processing (IDP) solutions, has launched specialist AI agents designed to automate enterprise paperwork. The...
PnL (Profit and Loss) is a critical metric in crypto trading, offering insights into trading performance and financial outcomes. Two...
Apple is expected to launch new MacBook Pro models featuring the M5 chip in the fall of 2025, with the...