The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.
In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...
Discover how to build a homemade rubber band-powered paper airplane in this easy and engaging tutorial. We’ll guide you step-by-step as you craft the frame with skewers, add aerodynamic paper wings, ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
The United States stands as the global hub of technological innovation, hosting some of the most influential Information ...
DeepSeek, the Chinese artificial intelligence (AI) startup, that took the Silicon Valley by storm in November 2024 with its ...
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