InfoQ

Postgres for Production Agents: Your Relational Foundation for Enterprise AI

Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...

A lack of pies for a pack of lies – what spoonerisms reveal about how the brain produces speech

Spoonerisms can be silly and make you laugh. But linguists see something more: a rare glimpse of how the mind plans speech ...
InfoQ

Facilitating the Spread of Knowledge and Innovation in Professional Software Development

AI makes the first 80% of development feel fast, but hides architectural complexity until it's too late. To prevent system ...
note

Comprehensive Guide to Gemma 4 QAT-Compatible Models: The Latest Quantization Technology for Balancing Memory Reduction and High Precision

The "Gemma" series of open-weight models from Google DeepMind has evolved once again. The latest version released in June 2026, Gemma 4, has released models that support "QAT (Quantization-Aware ...
marktechpost

A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor

In this tutorial, we explore how to apply post-training quantization to an instruction-tuned language model using llmcompressor. We start with an FP16 baseline and then compare multiple compression ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of ...
GitHub

[CVPR 2026] Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients

Ziwei Xiang*, Fanhu Zeng*, Hongjian Fang*, Rui-Qi Wang, Renxing Chen, Yanan Zhu, Yi Chen, Peipei Yang, Xu-Yao Zhang TL;DR: We introduce a fine-grained post-training quantization method for large ...
Semiconductor Engineering

Balancing Training, Quantization, And Hardware Integration In NPUs

Experts At The Table: AI/ML is driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor ...
Investopedia

Understanding Rounding Errors: Causes, Consequences, and Examples

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...