Browsing: Sparse

Instruction-tuned language models refuse harmful requests. But which part of the model is actually responsible — and how does that mechanism get installed during training? A…

def build_model(attn_type: str = “mla”, max_loop_iters: int = 8) -> tuple: “””Build a small OpenMythos model. Two attention variants supported. MLA — Multi-Latent Attention (compressed KV…

Cohere just released Command A+, as an open-source model targeting enterprise agentic workflows. Available under an Apache 2.0 license, Command A+ is a mixture-of-experts (MoE) model…

header(“6. RAW CUDA KERNEL — MANDELBROT”) mandel = cp.RawKernel(r”’ extern “C” __global__ void mandel(float xmin, float xmax, float ymin, float ymax, int W, int H, int…

Large language models are remarkably capable, yet frustratingly opaque. When a model misbehaves — generating responses in the wrong language, repeating itself endlessly, or refusing safe…

DeepSeek-AI has released a preview version of the DeepSeek-V4 series: two Mixture-of-Experts (MoE) language models built around one core challenge making one-million-token context windows practical and…

The open-source AI landscape has a new entry worth paying attention to. The Qwen team at Alibaba has released Qwen3.6-35B-A3B, the first open-weight model from the…

In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models represent items…

Transformers use attention and Mixture-of-Experts to scale computation, but they still lack a native way to perform knowledge lookup. They re-compute the same local patterns again…

If neural networks are now making decisions everywhere from code editors to safety systems, how can we actually see the specific circuits inside that drive each…