Ever wondered how the data used to train large language models (LLMs) affects their ability to understand new information? Turns out, it's a big deal! The variety and mix of this data can make or break an LLM's performance. Currently, many LLMs rely on guesswork and trial and error to tweak how much
Curious about the story behind Kevin Curtis, an Elvis impersonator, and Everett Dutschke, a karate instructor? It starts in Tupelo, Mississippi, where Curtis found a severed head in a hospital fridge. That began a series of crazy events – a feud with a funeral director and politician, Steve Holland,
Actress Katie Holmes took to Instagram to address a recent report about her daughter, Suri Cruise. The Daily Mail had claimed that Suri became a millionaire thanks to a trust fund from her father, Tom Cruise. However, Katie quickly shut down these rumors, stating they were "completely false. " She e
A shocking turn of events has left many NYC families worried. Private and homeschooled kids needing special education services were recently denied resources due to a missed form deadline. This news came as a rude awakening to about 3, 000 families who learned that their children would not receive c
Ever wondered how changing the fat in your cooking affects the taste? Researchers explored this by using cold plasma to alter beef tallow, which is a type of animal fat. Here’s what they found. Beef tallow can be oxidized—that's a chemical reaction with oxygen—using a tool called atmospheric pressu
Back in 2018, Pete Hegseth, a former Fox News personality, was dealing with a situation that many people dread: a second divorce. Amid this personal storm, his mom, Penelope, sent him an email that must have stung. She wrote about her concerns over his behavior towards women. Just around the same ti
Engrailed homeodomain, or EngHD, is a crucial protein that controls over 200 genes by acting as a transcription factor. It folds quickly, but scientists aren't quite sure how electrostatic interactions within it affect its stability and cooperativity during folding. Recent research used a computer m
Ever faced an issue where machines acted up, but the data didn't give clear answers? Researchers have come up with a clever method called multi-adversarial domain adaptation. This system uses three networks to tackle machine problems. The first network grabs features from the data, while the second
In 2022 and 2023, an exciting global competition named Genomes to Fields (G2F) took place. This event focused on predicting maize yields by combining genetic and environmental factors. The challenge? To improve these predictions and make a real-world impact on food security, fuel, and planet care. T
Making money and staying safe in the financial market depends on good predictions. Markets are connected, so understanding one can help understand others. While current methods work, they often pick up on noise and miss the complex links between markets. We're introducing a new model that learns fro
