Guide surveys C++ standard algorithms
Published on February 18, 2026, the entry points to a GitHub repository for “The Standard Algorithms in C++,” a book by Šimon Tóth.
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Radar
Daily bookmarks: relevant news, facts and discoveries.
Handling floating-point errors in C++
An article published on February 18, 2026, presents techniques for detecting and handling floating-point errors in C++, considering possible effects on correctness and runtime performance.
Read articleKascade reuses sparse attention across Transformer layers
Published on February 18, 2026, the summary presents Kascade, an inference approach that computes full attention in selected reference layers and reuses those results in intermediate layers.
Read articleLLD linker documentation: design and performance
Published on February 17, 2026, the LLVM documentation page for LLD describes a video covering the linker’s internals, design, data structures, and performance.
Read articleIntel guide documents instruction access through C functions
Published on February 17, 2026, the Intel Intrinsics Guide lists C-style functions that provide access to processor instructions without requiring assembly code.
Read articlehf-mem estimates memory needs for new models
Published on February 17, 2026, the report presents hf-mem, a command-line tool for estimating memory requirements as model architectures change.
Read articleCogRouter adjusts reasoning by agent step
Published on February 16, 2026, the report describes four cognitive levels for adjusting reasoning depth in LLM agents and reports 82.3% benchmark success for a 7B model.
Read articleRadar: how to write shared libraries
Published on February 16, 2026, this bookmark presents Ulrich Drepper’s guide to writing shared libraries, aimed at engineers working on their design and implementation.
Read articleProject Aura: ESP32-S3 air monitor
Published on February 16, 2026, Project Aura is a DIY air-quality monitor with a touchscreen, sensors, and Home Assistant support.
Read articleSelf-distillation for continual learning without rewards
Published on February 16, 2026, the post describes a self-distillation technique for continual learning: a demonstration-conditioned model acts as teacher to train the same model without the demonstration, without defining a reward function.
Read articleLinkers: an introductory guide for C and C++
Published on February 15, 2026, this beginner guide highlights why understanding linkers helps engineers navigate the build process for C and C++ programs.
Read articlePyTorch notebook explores GRPO improvements
Published on February 15, 2026, chapter 7 of Reasoning From Scratch presents a GRPO implementation that adds and examines bounded policy ratios, a KL term, format rewards, and other improvements.
Read articleQED-Nano: a 4B model for olympiad proofs
A project explores training a small model to prove difficult theorems and presents details about its training, datasets, and implementation.
Read articleOnline RL tests HPC code on real machines
An article published on February 15, 2026 describes online reinforcement learning with rewards based on benchmarks run on real machines.
Read articleTurningPoint-GRPO uses stage-level rewards
Published on February 15, 2026, TurningPoint-GRPO is described as a framework for sparse rewards in flow-matching models, identifying stages that reverse the local reward trend.
Read articleExaviz CM5 board adds eight PoE ports to mini NAS/NVR
The Raspberry Pi Compute Module 5 board combines eight PoE ports and a 2.5 Gbps uplink in a format that fits a 10-inch mini rack. The DeskPi enclosure shown is not yet the final version.
Read articleTraining-free GRPO uses textual experience memory
The method described keeps the model frozen and consults a text memory of successful and unsuccessful attempts. The report claims fine-tuning-level performance with 100 examples.
Read articleQwen3 latency optimization on AMD MI300X
A February 13, 2026 bookmark about a LMSYS blog article on Qwen3 and Qwen3-VL latency on AMD MI300X GPUs.
Read articleGAT: attention highlights relevant graph neighbors
A paper presented at ICLR 2018 describes Graph Attention Networks, which weight information from neighboring nodes using weights calculated for connected pairs. The record was published on February 12, 2026.
Read articleC inference for Qwen3-ASR transcription
A repository offers C inference for the Qwen3-ASR 0.6B and 1.7B speech recognition models, with potential uses in transcription bots and voice-controlled interfaces.
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