Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

Abstract: Recent advances in large language models (LLMs) have demonstrated exceptional reasoning capabilities in natural language processing, sparking interest in applying LLMs to task planning ...

2 Centre for Comprehensive Stroke Rehabilitation and Research, Manipal Academy of Higher Education, Manipal, India Objective Upper limb task-oriented training (UL-TOT) is a complex intervention in ...

Agentic Context Engine learns from your agent's successes and failures. Just plug in and watch your agents improve.

Thor Sawin has received funding for teacher development projects through the State Department Fulbright Specialist and English Language Specialist program, as well as the US Air Force and LCC ...

As a longtime world language educator, I have used many traditional assessments in my own classroom. For years, I was teaching my own students the way that I had been taught. I used the same structure ...

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see ...

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...

Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...