Waterloo's PAW compiles task specs into 23MB LoRA adapters a 600M-parameter model runs entirely offline.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Tax Guru

Mandatory Capture of Ship-to Field & Voluntary Closure of E-Way Bill: FAQs

GSTN has clarified mandatory Ship-to GSTIN requirements, API changes and voluntary e-Way Bill closure before the proposed 1 August 2026 ...
The Financial Express

How you can create your second brain with Claude

Learn how to build a second brain using Claude and Obsidian to create a persistent, local AI memory that remembers your conversations and preferences, enhancing your chatbot experience. Follow a ...
How-To Geek on MSN

What is SerpApi, and how are developers using it?

This article is sponsored by SerpApi ...
GitHub

A fast JSON serializing & deserializing library, accelerated by SIMD.

c++11 or above x86 platform with AVX2 instruction GCC or LLVM compiler (not support MSVC compiler now) Linux OS using SIMD to accelerate skipping white space. using SIMD to find escaped chars when ...