Model efficiency is important in the age of large language and vision models, but they face significant efficiency challenges in real-world deployments. Critical metrics such as training compute requirements, inference latency, and memory footprint impact deployment costs and system responsiveness. These constraints often limit the practical implementation of high-quality models in production environments. The need… →
Data visualization is a powerful technique that transforms complex data into easily understandable visual representations. Let us explore how data visualization can help with graphs. Applying data visualization to graphs allows us to examine intricate relationships between entities, identify patterns, and uncover insights that might be hidden within the data. By visually mapping nodes and… →
A significant challenge in the field of artificial intelligence is to facilitate large language models (LLMs) to generate 3D meshes from text descriptions directly. Conventional techniques restrict LLMs from operating as text-based components and remove multimodal workflows that combine textual and 3D content creation. Most of the existing frameworks require additional architectures or massive computational… →
Instruction-tuned large language models (LLMs) have redefined natural language processing (NLP), offering significant improvements in generating coherent, context-aware responses. However, a pressing challenge persists—access to high-quality, diverse, and task-specific instruction-response datasets. Traditional instruction-tuning approaches often depend on curated datasets that are costly and time-intensive to develop. Moreover, such datasets may lack the breadth and depth… →
CONCLUSIONS: HIIT is an effective physical exercise program to maintain higher quality of life and help to reduce some of NAC induced side effects for women with BC. →
CONCLUSIONS: Active KHFAC stimulation, particularly at 40 kHz, delivered through a novel stimulator, effectively increased the PPT and HPT without affecting tactile or motor outcomes, inducing mild skin-related adverse effects. These findings have potential implications for people with pain-related pathologies. →
Addressing abdominal obesity requires multifaceted strategies, with physical activity and diet playing a pivotal role. The objective of this study was to assess alterations in body composition, adipokine concentrations, insulin resistance parameters, and lipid metabolism in males with abdominal obesity following two distinct interventions: exercise alone and exercise combined with a specific diet. The study… →
Machine learning (ML) engineers face many challenges while working on end-to-end ML projects. The typical workflow involves repetitive and time-consuming tasks like data cleaning, feature engineering, model tuning, and eventually deploying models into production. Although these steps are critical to building accurate and robust models, they often turn into a bottleneck for innovation. The workload… →
CONCLUSIONS: Major features of the study design include formal definitions of conditions and outcomes, standardized diagnostic and treatment protocols, a delayed treatment arm, masked outcome examinations, and the incorporation of objective eye movement recording and brain imaging as outcome measures. CONCUSS will establish best practices in the clinical care of CONC-CI. The objective eye movement… →
CONCLUSIONS: Among motivated smokers provided with very brief advice to quit, the offer of the Smoke Free app did not have a detectable benefit for cessation compared with follow-up only. However, the app increased quit rates when smokers randomized to receive the app downloaded it. →