Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...
A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.
Have you ever found yourself deep in the weeds of training a language model, wishing for a simpler way to make sense of its learning process? If you’ve struggled with the complexity of configuring ...
Large language models power everyday tools and reshape modern digital work.Beginner and advanced books together create a ...
“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...
Support for AI among public safety professionals rose to 90% in 2024, with agencies rapidly adopting large language models (LLMs) to streamline operations and improve engagement. LLMs are being used ...
With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...
Microsoft develops a lightweight scanner that detects backdoors in open-weight LLMs using three behavioral signals, improving ...
Apertus was released in early September 2025. It is a multilingual model developed by the Swiss Federal Institutes of Technology in Zurich (ETH) and Lausanne (EPFL). The model was pretrained with 60% ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results