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 ...
JD Supra

12 Digital PR KPIs Big Law Marketing Leaders Must Track in 2026

Here’s something most digital PR agencies won’t tell you upfront: the metrics they highlight in their monthly reports are not ...
IEEE

KnowSTU: Diagnosing Students’ Problem Behaviors Using Fine-Tuned LLM and RAG

Abstract: Students’ problem behaviors, which deviate from established school norms, can undermine both their well-being and academic achievement. Effectively addressing such behaviors often requires ...