Small Language Models Outperform Frontier AI On Cost, Speed And Accuracy

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.
IEEE

Meta-Learning With Task-Adaptive Selection

Abstract: The gradient-based meta-learning algorithm gains meta-learning parameters from a pool of tasks. Starting from the obtained meta-learning parameters, it can achieve better results through ...
Frontiers

Are S.M.A.R.T goals really smart? The psychological effects of goal-setting in a learning task

Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...
The New York Times

The Best AI Scheduling App Makes You Do the Hard Work

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Matthew Guay After a new round of testing, Sunsama is still our favorite ...
IEEE

Generative Causality-Driven Network for Graph Multi-Task Learning

Abstract: Multi-task learning (MTL) is a standard learning paradigm in machine learning. The central idea of MTL is to capture the shared knowledge among multiple tasks for mitigating the problem of ...