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cs.AI2026
The Quantization Trap: Breaking Linear Scaling Laws in Multi-Hop Reasoning
Henry Han, Xiyang Liu, Xiaodong Wang +2
Neural scaling laws provide a predictable recipe for AI advancement: reducing numerical precision should linearly improve computational efficiency and energy profile ($E \propto \m…
cs.AI2024
The Llama 3 Herd of Models
Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri +556
Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd of language models th…