CONCLUSION: We did not find evidence of a significant difference between RCT recruitment and retention rates in participants randomised to the standard-length PIL compared with the shortened. It may be that a shortened PIL has the same effect on recruitment and retention outcomes, providing that the trial does not require extensive information for other reasons… →
CONCLUSION: Virtual reality can be an effective tool in pediatric allergy clinics to reduce pain and fear during skin prick testing. By enhancing the child’s comfort, VR may also improve adherence to allergy follow-up and treatment, ultimately contributing to better clinical outcomes. →
CONCLUSION: EEG-guided adaptive learning is an effective and engaging intervention that improves cognitive functioning and academic performance in children with ADHD. It is important to note that although increases in frontal alpha power were observed, which are typically associated with improved executive functioning, such increases can also be linked to anxiety and depression. This potential… →
CONCLUSIONS: Both the muscle-start-end tuina and muscle belly tuina techniques demonstrate efficacy in treating chronic nonspecific neck pain. However, the muscle-start-end tuina method exhibits superior outcomes in symptom alleviation, muscle tension reduction, and enhancement of muscle endurance compared to muscle belly tuina. →
«`html Understanding the Target Audience The target audience for the article «How Latent Vector Fields Reveal the Inner Workings of Neural Autoencoders» primarily consists of data scientists, machine learning engineers, and AI researchers. These professionals are often engaged in developing and optimizing neural network models, particularly in the context of autoencoders. Pain Points: The audience… →
«`html AREAL: Accelerating Large Reasoning Model Training with Fully Asynchronous Reinforcement Learning Introduction: The Need for Efficient RL in LRMs Reinforcement Learning (RL) is increasingly used to enhance Large Language Models (LLMs), particularly for reasoning tasks. These models, known as Large Reasoning Models (LRMs), generate intermediate “thinking” steps before providing final answers, thereby improving performance… →
Carolyn Geason-Beissel/MIT SMR | Getty Images Companies across a wide range of industries are increasingly focused on using artificial intelligence to gain a competitive edge and unlock productivity gains. Given the transformational potential of the technology, it’s not surprising that private equity investors are also seeking to harness the power of AI in their portfolios.… →
Building High-Performance Financial Analytics Pipelines with Polars: Lazy Evaluation, Advanced Expressions, and SQL Integration This tutorial explores the creation of an advanced data analytics pipeline using Polars, a high-performance DataFrame library ideal for handling large-scale financial datasets. Our primary objective is to illustrate how to effectively leverage Polars’ lazy evaluation, complex expressions, window functions, and… →
«`html From Fine-Tuning to Prompt Engineering: Theory and Practice for Efficient Transformer Adaptation Understanding the Target Audience The target audience for this topic primarily consists of AI researchers, data scientists, and business managers interested in the practical applications of transformer models. Their pain points include the high computational costs associated with fine-tuning large models and… →
The GTM Podcast is available on any major directory, including: Apple Podcasts Spotify YouTube Dennis Lyandres is an Advisor with ICONiQ and a Board Member of Speedchain and CaptivateIQ. Dennis amassed incredible insights through his experience as the Chief Revenue Officer of Procore, where he helped grow the company from $10M to $900M+ in revenue… →