Browsing: LLMs

This article examines the potential for generative AI and large language models to detect and report on “thought crimes” based on user dialogue, exploring the ethical implications, technological capabilities, and societal impact of such a scenario. It highlights potential downsides, including false positives and the chilling effect on free speech.

Small Language Models (SLMs) are emerging as a powerful alternative to large language models (LLMs), offering advantages in environmental impact, cost-effectiveness, accessibility, and privacy. This article explores the benefits of SLMs and why ‘assistive intelligence’ is a more apt description.