VentureBeat

Stanford study challenges assumptions about language models: Larger context doesn’t mean better understanding

A study released this month by researchers from Stanford University, UC Berkeley and Samaya AI has found that large language models (LLMs) often fail to access and use relevant information given to ...
New Atlas

The genie escapes: Stanford copies the ChatGPT AI for less than $600

Stanford's Alpaca AI performs similarly to the astonishing ChatGPT on many tasks – but it's built on an open-source language model and cost less than US$600 to train up. It seems these godlike AIs are ...
SiliconANGLE

Stanford HAI says generative AI model transparency is improving, but there’s a long way to go

Researchers from Stanford University today published an update to their Foundation Model Transparency Index, which looks at the transparency of popular generative artificial intelligence models such ...
Communications of the ACM

Teaching LLMs to Give Better Answers

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...
Inside Higher Ed

Chinese Media Turns Stanford AI Plagiarism Into ‘Propaganda’

An AI model released by two Stanford students sparked controversy in China for its similarities to a model developed by scientists at Tsinghua University. Chinese state-run media has used a plagiarism ...
Mint

Forget DeepSeek. Large language models are getting cheaper still

In December, DeepSeek earned itself headlines for cutting the dollar cost of training a frontier model down from $61.6m to just $6m. Photo: Reuters As recently as 2022, just building a large language ...