Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) fine-tuning are two common methods for post-training large models. While reinforcement learning fine-tuning has made significant progress ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

Delphi-2M reads your medical history like a language model reads text—and forecasts health problems 20 years out with ...

A new study shows how routine blood samples may give doctors early insights into injury severity and patient survival after ...

On Threads, the algorithm-configuration feature is tied to Instagram’s larger efforts to revamp its main app to emphasize ...

ACRL announces the publication of Text and Data Mining Literacy for Librarians, edited by Whitney Kramer, Iliana Burgos, and ...

A new vision platform powered by dual AI engines and advanced imaging tools promises sharper defect detection, faster ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

BACKGROUND: Early detection of atrial fibrillation (AF) is essential for preventing ischemic stroke and other cardiovascular ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Dezeen School Shows: a publication exploring the sentimental value of cooking food at home is among the projects from ...