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Llm + Optimization + Inference

56.0

Create an automated benchmarking suite to test Qwen3.6-Max-Preview against open-source models in specific coding tasks. Build a script to compare reasoning latency vs accuracy.

+637
activeimplementation gap
traininginferencellmoptimization

Signals (18)

YHN13h ago

KV Cache Compression 900000x Beyond TurboQuant and Per-Vector Shannon Limit

YHN2d ago

The RAM shortage could last years

arXiv1d ago

StoSignSGD: Unbiased Structural Stochasticity Fixes SignSGD for Training Large Language Models

arXiv11h ago

SCATR: Simple Calibrated Test-Time Ranking

YHN21h ago

We got 207 tok/s with Qwen3.5-27B on an RTX 3090

arXiv11h ago

Cross-Family Speculative Decoding for Polish Language Models on Apple~Silicon: An Empirical Evaluation of Bielik~11B with UAG-Extended MLX-LM

GitHub13h ago

mnfst/manifest

YHN1d ago

Reminder: Enable ZRAM on your Linux system to optimize RAM usage

nvidia blog16h ago

Maximizing Memory Efficiency to Run Bigger Models on NVIDIA Jetson

arXiv1d ago

Dispatch-Aware Ragged Attention for Pruned Vision Transformers

nvidia blog3d ago

Full-Stack Optimizations for Agentic Inference with NVIDIA Dynamo

arXiv11h ago

BASIS: Balanced Activation Sketching with Invariant Scalars for "Ghost Backpropagation"

YHN20h ago

Soul Player C64 – A real transformer running on a 1 MHz Commodore 64

arXiv11h ago

Stein Variational Black-Box Combinatorial Optimization

YHN2d ago

Optimizing Ruby Path Methods

YHN1d ago

A cache-friendly IPv6 LPM with AVX-512 (linearized B+-tree, real BGP benchmarks)

YHN1d ago

Qwen3.6-Max-Preview: Smarter, Sharper, Still Evolving

arXiv1d ago

The Illusion of Equivalence: Systematic FP16 Divergence in KV-Cached Autoregressive Inference