Voyage AI is proud to announce the release of its new generation of embedding models, Voyage-3 and Voyage-3-Lite. The Voyage-3 and Voyage-3-Lite models are designed to outperform existing industry standards in various domains, including technology, law, finance, multilingual applications, and long-context understanding. According to Voyage AI’s evaluations, Voyage-3 outperforms OpenAI’s V3 large model by an… →
Venous thromboembolism is a serious safety concern in women using combined oral contraceptives; ethinyl estradiol (EE) is widely used as an estrogen. Estetrol (E4) is a native estrogen with selective tissue activity and exclusively produced by the fetal liver. This study used a multicenter, randomized, open-label, active-controlled, parallel-group design to evaluate the effects of E4… →
Objective: To analyze the short-term clinical efficacy and safety of arsenic trioxide (ATO) combined with a modified N7 induction regimen in the treatment of children with high-risk neuroblastoma (NB). Methods: This study was a prospective, single-arm, multicenter phase Ⅱ clinical study. Sixty-seven high-risk NB children from eight units of Sun Yat-sen Memorial Hospital of Sun… →
Ulnar neuropathy at the elbow (UNE) is the second most common entrapment neuropathy and presents with symptoms such as pain, paresthesia, and weakness in the elbow. Provocative tests and electrophysiological examinations are helpful in the diagnosis of UNE. Low-level laser therapy is one of the conservative treatments of UNE however, limited results were reported on… →
BACKGROUND: This study uses a randomized controlled trial (RCT) to test the health benefits of expressive writing that is culturally adapted for Chinese immigrant breast cancer survivors (BCSs) and to characterize how acculturation moderates the effects of expressive writing interventions. →
Large language models (LLMs) have revolutionized the field of AI with their ability to generate human-like text and perform complex reasoning. However, despite their capabilities, LLMs need help with tasks requiring domain-specific knowledge, especially in healthcare, law, and finance. When trained on large datasets, these models often miss critical information from specialized domains, leading to… →
As the volume of unstructured data grows in various fields, including healthcare, legal, and finance, the demand for efficient, accurate document processing solutions increases. Handling unstructured data is challenging due to its inherent lack of structure and consistency. Unlike structured data, which follows a predefined format (e.g., databases), unstructured data can vary widely in format,… →
Foundation models have emerged as transformative digital technologies, introducing new capabilities and risks that have captured unprecedented public attention. However, the current foundation model ecosystem lacks transparency, mirroring issues faced by earlier digital technologies like social media platforms. The 2023 Foundation Model Transparency Index revealed that major developers scored an average of only 37 out… →
The Role of ChatGPT in Enhancing Tourist Decision-Making: A Study Based on Accessibility–Diagnosticity Theory: This study examines the influence of ChatGPT on tourist decision-making, focusing on the accessibility and diagnostic quality of its travel recommendations. By leveraging the Accessibility–Diagnosticity Theory (ADT), the analysis highlights ChatGPT’s ability to generate personalized, context-specific content for tourists. The findings… →