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.
The Straits Times

Can AI improve learning? New MOE fund aims to find faster answers

SINGAPORE – A new fund has been launched by the Ministry of Education (MOE) to support short-term studies in educational technology, including the use of artificial intelligence. The Rapid Research ...
IEEE

PCK-RL: A Unified Framework for Vision-Language Model and Reinforcement Learning-Based Robotic Manipulation

Abstract: Recent advances in the vision-language model (VLM) have demonstrated impressive capabilities in aligning high-level semantic information with visual environments, offering significant help ...

So you’ve heard these AI terms and nodded along; let’s fix that

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.
techxplore

AI training method helps robots carry lab-learned skills into real-world tasks

Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, slow, and sometimes unsafe, particularly for tasks involving physical ...
GitHub

HMTL (Hierarchical Multi-Task Learning model)

We released an online demo (along with pre-trained weights) so that you can play yourself with the model. The code for the web interface is also available in the demo ...
Edutopia

Research-Based Tips for Optimal Seating Arrangements

Figuring out where a student should sit is more than just putting a name on a chart. It can determine who they talk to, how well they focus, and even how they engage with a lesson. In fact, classroom ...
Computerworld

What are LLMs, and how are they used in generative AI?

Large language models are the algorithmic basis for chatbots like OpenAI's ChatGPT and Google's Bard. The technology is tied back to billions — even trillions — of parameters that can make them both ...
Nature

Mathematical discoveries from program search with large language models

Many problems in mathematical sciences are ‘easy to evaluate’, despite being typically ‘hard to solve’. For example, in computer science, NP-complete optimization problems admit a polynomial-time ...
The Conversation

UK students are abandoning language learning, so we’re looking for a more creative approach

There is a storm brewing for modern language education in the UK. The uptake in higher education has more than halved in the past 15 years. And in the same period, ten modern language university ...
Edutopia

An Inside Look at Webb’s Depth of Knowledge

The creator of the well-known framework explains how it helps teachers evaluate the cognitive complexity of a task or assignment—and clears up some misconceptions about it. DOK provides a common ...
GitHub

Beyond the Imitation Game Benchmark

The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their future capabilities. The more than 200 tasks included in ...