A linguist explains what makes human English human, and why you shouldn’t overdo it with large language models.

People have to be very aware that there’s a surveillance aspect to the data.” People talking dirty to machines, like ChatGPT, is nothing new. “They want to monetize something they see that people are ...

Key Takeaways LLM workflows are now essential for AI jobs in 2026, with employers expecting hands-on, practical skills.Rather than courses that intensively cove ...

In A Nutshell A new study found that even the best AI models stumbled on roughly one in four structured coding tasks, raising ...

Background: Large language models (LLMs) can generate outputs understandable by humans, such as answers to medical questions and radiology reports. With the rapid development of LLMs, clinicians face ...

Abstract: This study examines the acceptance of chatbots among Indian university students by inspecting factors impelling their intention to use chatbots in education. A structured questionnaire was ...

Stage 1 - Label-Aware Language Modeling: We utilize Conditional BERT (CBERT) to fine-tune a language model that incorporates class label information, ensuring that synthetic substitutions remain label ...

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...

A new project allowed AI chatbots to interrupt, stay silent or speak up the way humans do in conversation, and it made them smarter and more accurate. When you purchase through links on our site, we ...

Abstract: Knowledge graphs (KGs) can provide structured knowledge to assist large language models (LLMs) in interpretable reasoning. Knowledge graph question answering (KGQA) is a typical benchmark to ...

Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...