Google's DiffusionGemma generates 256 tokens in parallel and self-corrects as it goes

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU at a cost to quality.
XDA Developers on MSN

I switched my local LLM setup to Ollama's new MLX engine, and my Mac suddenly feels twice as fast

I finally stopped babying my MacBook.
XDA Developers on MSN

6 settings I always change before running a local LLM

You might not need a different model, but better settings ...
IEEE

Self-Triggered and Event-Triggered Control for Linear Systems With Quantization

Abstract: This paper considers the observer-based event-triggered output control problem with quantization. Both plant-to-controller (measured output) channel and controller-to-plant (control input) ...
IEEE

Spectral Efficiency of One-Bit Sigma-Delta Massive MIMO

Abstract: We examine the uplink spectral efficiency of a massive MIMO base station employing a one-bit Sigma-Delta (ΣΔ) sampling scheme implemented in the spatial rather than the temporal domain.
note

Model Conversion Simplified with Megatron-Bridge — Discovery of Quantization Token Inflation and Optimal Model Sizes for Edge Inference

Megatron-Bridge (v0.5.0), released by NVIDIA, is a library that converts Megatron-format models to Hugging Face, lowering the barrier to model migration by supporting over 15 models. At the same time, ...
GitHub

Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices

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GitHub

AlphaQ: Calibration-Free Bit Allocation for Mixture-of-Experts Quantization

AlphaQ is a novel calibration-free bit-allocation method for Mixture-of-Experts (MoE) model quantization. Unlike traditional data-driven methods that rely on calibration data to estimate expert ...