Categories: AI/ML News

Team develops a faster, cheaper way to train large language models

A Stanford team has developed Sophia, a new way to optimize the pretraining of large language models that’s twice as fast as current approaches.

Over-training large language models may make them harder to fine-tune

A small team of AI researchers from Carnegie Mellon University, Stanford University, Harvard University and Princeton University, all in the U.S., has found that if large language models are over-trained, it might make them harder to fine-tune. In their paper posted on the arXiv preprint server, the group compared the…

April 15, 2025

In "AI/ML News"

Common way to test for leaks in large language models may be flawed

Large language models are everywhere, including running in the background of the apps on the device you're using to read this. The auto-complete suggestions in your texts and emails, the query responses composed by Gemni, Copilot and ChatGPT, and the images generated from DALL-E are all built using LLMs.

November 16, 2024

In "AI/ML News"

What Are Large Language Models Used For?

AI applications are summarizing articles, writing stories and engaging in long conversations — and large language models are doing the heavy lifting. A large language model, or LLM, is a deep learning algorithm that can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from…

January 27, 2023

In "FAANG"

AI Generated Robotic Content