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Phi-4 proves that a 'data-first' SFT methodology is the new differentiator
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]
Lean4: How the theorem prover works and why it's the new competitive edge in AI
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]
Kai-Fu Lee's brutal assessment: America is already losing the AI hardware war to China
China is on track to dominate consumer artificial intelligence applications and robotics manufacturing within years, but the United States will maintain its substantial lead in enterprise AI adoption [...]
A European AI challenger goes after GitHub Copilot: Mistral launches Vibe 2.0
Mistral AI, the French artificial intelligence company that has positioned itself as Europe's leading challenger to American AI giants, announced on Tuesday the general availability of Mistral Vi [...]
AI learns math reasoning by playing Snake and Tetris-like games rather than using math datasets
Researchers have found an unexpected way for multimodal AI models to learn mathematical reasoning: by playing simple arcade games like Snake and Tetris, rather than training on math datasets.<br /& [...]
Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source
The prevailing assumption in AI development has been straightforward: larger models trained on more data produce better results. Nvidia's latest release directly challenges that size assumption â [...]