CONCLUSIONS: Despite showing clinically meaningful improvements in IBS-D symptoms and a reasonable safety profile after 8 weeks, no significant differences were observed between the TXYF and placebo groups. This suggests that the severity of IBS-D symptoms in both treatment arms might have decreased over time, regardless of the treatment, and highlights the need to investigate… →
Researchers have highlighted concerns regarding hallucinations in LLMs due to their generation of plausible but inaccurate or unrelated content. However, these hallucinations hold potential in creativity-driven fields like drug discovery, where innovation is essential. LLMs have been widely applied in scientific domains, such as materials science, biology, and chemistry, aiding tasks like molecular description and… →
Large Language Models (LLMs) have become an indispensable part of contemporary life, shaping the future of nearly every conceivable domain. They are widely acknowledged for their impressive performance across tasks of varying complexity. However, instances have arisen where LLMs have been criticized for generating unexpected and unsafe responses. Consequently, ongoing research aims to align LLMs… →
Knowledge distillation, a crucial technique in artificial intelligence for transferring knowledge from large language models (LLMs) to smaller, resource-efficient ones, faces several significant challenges that limit its utility. Over-distillation tends to cause homogenization, in which student models over-imitate teacher models and lose diversity and the capacity to solve novel or challenging tasks. Also, the non-transparent… →
Multimodal AI integrates diverse data formats, such as text and images, to create systems capable of accurately understanding and generating content. By bridging textual and visual data, these models address real-world problems like visual question answering, instruction-following, and creative content generation. They rely on advanced architectures and large-scale datasets to enhance performance, focusing on overcoming… →
SSL is a powerful technique for extracting meaningful patterns from large, unlabelled datasets, proving transformative in fields like computer vision and NLP. In single-cell genomics (SCG), SSL offers significant potential for analyzing complex biological data, especially with the advent of foundation models. SCG, fueled by advances in single-cell RNA sequencing, has evolved into a data-intensive… →
CONCLUSIONS: Our findings establish frequent point-of-care molecular workplace COVID-19 surveillance as a feasible option for keeping essential rural workplaces open and preventing SARS-CoV-2 spread. These findings extend beyond this study, providing valuable insights for designing interventions to maintain employees’ safety at other essential workplaces during an infectious disease outbreak. →
With the release of DeepSeek R1, there is a buzz in the AI community. The open-source model offers some best-in-class performance across many metrics, even at par with state-of-the-art proprietary models in many cases. Such huge success invites attention and curiosity to learn more about it. In this article, we will look into implementing a … →