Imagine trying to understand how every tiny change in a protein affects its performance. It’s almost like trying to solve a puzzle with an infinite number of pieces. And just like any challenging puzzle, it’s time-consuming and expensive. That’s where VespaG steps in. This nifty tool uses protein La
Imagine you have a powerful language model that's great at understanding text, but you want it to handle time series data. That's where this new method, called TEST, comes in. TEST doesn't try to change the language model itself. Instead, it changes how time series data is fed into the model. It fir
In the world of software engineering, general large language models (LLMs) like ChatGPT have shown great promise in code generation. This has led to the creation of specialized LLMs, called Code LLMs. Many of these are made by fine-tuning general LLMs. They're often updated frequently and their perf
Ever wished you could read a voice message instead of listening to it? WhatsApp has just made that possible! The messaging app, owned by Meta, is rolling out a new feature called voice message transcripts. This handy tool is perfect for when you're on the go or in a noisy place. It's similar to a fe
Ever thought about how language models learn from multiple domains? Well, turns out, not all parameters in these models behave the same way. Some act differently depending on the domain, while others stay consistent. This can lead to both strengths and weaknesses. Imagine you're trying to build a l
Imagine you're 65 and suddenly, technology is promising to predict and monitor Alzheimer's disease. But what do older adults actually think about a digital brain health platform? This study dives into their perspectives using natural language processing. It's like reading their minds, but in a tech-
Imagine you're trying to find out how rice grows and adapts, but you're stuck sifting through tons of scientific papers. That's where large language models (LLMs) come in. These smart tools can understand text like a human, making them perfect for finding biological regulation events in rice literat
Large Language Models (LLMs) are becoming increasingly popular. They're being used not just as smart tools, but also as parts of bigger software systems. These systems, called LLM-integrated applications, use LLMs to do tasks that would otherwise be tough or need a lot of coding. As this field grows
Imagine you're a medical student studying for the Progress Test Medizin. You take the exam and get your numerical score, but wouldn't it be helpful to know more? Content-based feedback can provide insight into where you went wrong and right, serving as a study aid and revision tool. But how can we m
Imagine a radiologist's day made easier by a smart assistant. Enter secure institutional large language models (LLMs). These advanced tools are designed to take the boredom out of non-interpretative tasks, like filling out MRI spine request forms. Gone are the days when radiologists had to spend pre
