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 ...
NextBigFuture

Evaluating Large Language Models

ChatGPT, GPT-4 are Large Language Models (LLM). There are four major aspects of LLMs pre-training, adaptation tuning, utilization, and capacity evaluation. Here is one of the new summaries of the ...
AdExchanger

Large Language Models Are Overkill For Some Marketing Tasks. Enter The Small Language Model

You know what’s cheaper than large language models? Small language models, which are designed for specialized tasks and can ...