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Scoured 15 posts in 6.0 ms

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

 CUDA  Content type: Code
github.com··Hacker News
Less-relevant results

Attention at the Theoretical Minimum: A Mathematics of Arrays Framework for Memory-Optimal Transformer Kernels

 🔄Transformers  Content type: Academic
arxiv.org·

Flatpak 1.18 Released with AMD Compute Interface Support

 🔺Triton
linuxiac.com·

Stateful Swarms: How Persistent Memory Beats Traditional Agent Architectures

 🤖LLM Agents  Content type: News

Efficient and Training-Free Single-Image Diffusion Models

 Inference Optimization

I stopped using most of Rust’s advanced features for my ML library

 CUDA  Content type: Code
github.com··r/rust

Issue #390 - The ML Engineer 🤖

 🤖LLM Agents  Content type: News  Content type: Blog

Express Language Modeling

 Inference Optimization  Content type: Academic
arxiv.org·

OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision

 🔥PyTorch Internals

SPEAR: A System for Post-Quantization Error-Adaptive Recovery Enabling Efficient Low-Bit LLM Serving

 Inference Optimization  Content type: Academic
arxiv.org·

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

 💾KV Cache  Content type: Code
github.com··Hacker News

Coupling Complementary Simulations for Combined Performance and Energy Optimization

 CUDA  Content type: Academic
arxiv.org·

mingusb/transformer-golf: The Fully Unrolled Transformer: An experimental repository for architecture simplification and compilation. [2026]

 🔄Transformers  Content type: Code
github.com··Hacker News

Nvidia DGX Spark GB10 – AI Models and Guide with vLLM and Autonomous Script

 💾KV Cache  Content type: Code
github.com··Hacker News

Gated Bidirectional Linear Attention for Generative Retrieval

 🔄Transformers  Content type: Academic
arxiv.org·

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