Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which means you do not need to add additional tools to your LLM environment.
CIO

Understanding tokenization and consumption in LLMs

At the core of these advancements lies the concept of tokenization — a fundamental process that dictates how user inputs are interpreted, processed and ultimately billed. Understanding tokenization is ...
eLife

Beyond the Focus of Expansion: Retinal curl as a functional signal for heading estimation

This study provides an important and biologically plausible account of how human perceptual judgments of heading direction are influenced by a specific pattern of motion in optic flow fields known as ...
eLife

Serotonergic modulation of motor subspace dynamics drives a sleep-independent quiescent state

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...