VentureBeat

Researchers find you don’t need a ton of data to train LLMs for reasoning tasks

Large language models (LLMs) can learn complex reasoning tasks without relying on large datasets, according to a new study by researchers at Shanghai Jiao Tong University. Their findings show that ...
CoinTelegraph

Training vs. testing data in machine learning

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...
Forbes

The Pros And Cons Of Using Synthetic Data For Training AI

Artificial intelligence (AI) models—specifically, generative AI (GenAI) models—are becoming increasingly relevant for today’s businesses, yet many questions remain about how such models work and how ...
Outside

4 Ways to Use the Training Data from Wearable Tech

Alex Hutchinson is a National Magazine Award-winning journalist and Outside’s Sweat Science columnist, covering the latest research on endurance and outdoor sports. Here’s their four-stage framework ...
Observer

Can Synthetic Data Help Solve Generative A.I.’s Training Data Crisis?

To address the growing A.I. training data crisis, some experts are considering synthetic data as a potential alternative. Real-world data, created by real humans, include news articles, YouTube videos ...