Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

A new study published in PLOS One sheds light on how people respond to health-related disinformation on social media. The research suggests that people who enjoy thinking critically and analytically ...

For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...

Learn a single ChatGPT 5 structured prompt that deliver expert-level results. Learn how one prompt can redefine what’s ...

Careful prompt design is important for avoiding potential security risks. If your prompt is too long, exceeding the LLM’s token limit, the model might just cut off the end, possibly ignoring the ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

Abstract: Few-shot semantic segmentation (FSS) is of tremendous potential for data-scarce scenarios, particularly in medical segmentation tasks with merely a few labeled data. Most of the existing FSS ...