large language models (LLMs)

LLMs consider unrelated information when recommending medical treatments

A big language model (LLM) deployed to make treatment recommendations might be...

An anomaly detection framework anyone can use

Sarah Alnegheimish’s research interests reside on the intersection of machine learning and...

Study shows vision-language models can’t handle queries with negation words

Imagine a radiologist examining a chest X-ray from a brand new patient....

Using AI to Predict a Blockbuster Movie

Although film and tv are sometimes seen as creative and open-ended industries, they've long been risk-averse. High production costs (which can soon lose the offsetting advantage of cheaper overseas locations, not less than for...

Training LLMs to self-detoxify their language

As we mature from childhood, our vocabulary — in addition to the...

Could LLMs help design our next medicines and materials?

The technique of discovering molecules which have the properties needed to create...

The Emergence of Self-Reflection in AI: How Large Language Models Are Using Personal Insights to Evolve

Artificial intelligence has made remarkable strides in recent times, with large language models (LLMs) leading in natural language understanding, reasoning, and artistic expression. Yet, despite their capabilities, these models still depend entirely on external...

LLMs Are Not Reasoning—They’re Just Really Good at Planning

Large language models (LLMs) like OpenAI’s o3, Google’s Gemini 2.0, and DeepSeek’s R1 have shown remarkable progress in tackling complex problems, generating human-like text, and even writing code with precision. These advanced LLMs are...

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