ascopubs.org

Ensuring Reliability of Curated Electronic Health Record–Derived Data: The Validation of Accuracy for Large Language Model–/Machine Learning–Extracted Information and ...

Early-Stage Breast Cancer in Women Younger Than 50 Years: Comparing American Joint Committee on Cancer Anatomic and Prognostic Stages With Partitioning Around Medoids Clusters in SEER Data Large ...
Semiconductor Engineering

Silent Data Corruption: A Major Reliability Challenge in Large-Scale LLM Training (TU Berlin)

A new technical paper, “Exploring Silent Data Corruption as a Reliability Challenge in LLM Training,” was published by researchers at Technische Universitat Berlin. “As Large Language Models (LLMs) ...
Search Engine Land

LLM optimization in 2026: Tracking, visibility, and what’s next for AI discovery

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...
Ars Technica

Researchers show that training on “junk data” can lead to LLM “brain rot”

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...
techtimes

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

Every large language model begins as a question of proportion. How much web text? How much code? How much scientific literature? The ratio of training data across these domains — what researchers call ...
Semiconductor Engineering

TSMC: King Of Data Center AI

Large language models (LLMs like ChatGPT) are driving the rapid expansion of data center AI capacity and performance. More capable LLM models drive demand and need more compute. AI data centers ...