Does RoPE mess with semantics of the vectors, what would you do differently? ➝
Claim: For any n-gram language model, there exists a state space language model that can simulate it with arbitrarily small error.
Advanced research on DeepSeek's innovative sparse attention mechanisms for efficient long-context processing.
How a 7M parameter model beats 100x bigger models at Sudoku, Mazes, and ARC-AGI using recursive reasoning.
NVIDIA's breakthrough 4-bit training methodology achieving 2-3x speedup and 50% memory reduction.
Diffusion Transformers with Representation Autoencoders achieve state-of-the-art FID 1.13 on ImageNet.
Quantization-enhanced Reinforcement Learning for LLMs enables RL training of 32B models on a single GPU.