AI-generated videos from text descriptions or images hold immense potential for content creation, media production, and entertainment. Recent advancements in deep learning, particularly in transformer-based architectures and diffusion models, have propelled this progress. However, training these models remains resource-intensive, requiring large datasets, extensive computing power, and significant financial investment. These challenges limit access to cutting-edge… →
In recent years, the integration of image generation technologies into various platforms has opened new avenues for enhancing user experiences. However, as these multimodal AI systems—capable of processing and generating multiple data forms like text and images—expand, challenges such as “caption hallucination” have emerged. This phenomenon occurs when AI-generated descriptions of images contain inaccuracies or… →
CONCLUSIONS: The delivery of CM via a TAS was feasible in this study, but recommendations for a future larger trial include that the study design should be changed to provide an operationalized rather than manual method of checking whether TAS data meet CM criteria. This would reduce researcher burden and researcher and participant time. Current… →
CONCLUSION: fSCIG 10% effectively prevented ASBIs in pediatric patients with PIDDs, with a favorable safety profile consistent with previous clinical studies. →
CONCLUSION: Diaphragmatic breathing and CBT-I interventions improved sleep quality indicators among older adults. →
CONCLUSIONS: Coconut oil treatment significantly modulated the oral microbiome and reduced inflammatory markers in patients with periodontitis, suggesting its potential as a natural and effective adjunct in periodontal therapy. →
Hello and welcome to The GTM Newsletter by GTMnow – read by 50,000+ to scale their companies and careers. GTMnow shares insight around the go-to-market strategies responsible for explosive company growth. GTMnow highlights the strategies, along with the stories from the top 1% of GTM executives, VCs, and founders behind these strategies and companies. AI… →
The rapid evolution of artificial intelligence (AI) has ushered in a new era of large language models (LLMs) capable of understanding and generating human-like text. However, the proprietary nature of many of these models poses challenges for accessibility, collaboration, and transparency within the research community. Additionally, the substantial computational resources required to train such models… →
Traditional language models rely on autoregressive approaches, which generate text sequentially, ensuring high-quality outputs at the expense of slow inference speeds. In contrast, diffusion models, initially developed for image and video generation, have gained attention in text generation due to their potential for parallelized generation and improved controllability. However, existing diffusion models struggle with fixed-length… →
Enhancing the reasoning abilities of LLMs by optimizing test-time compute is a critical research challenge. Current approaches primarily rely on fine-tuning models with search traces or RL using binary outcome rewards. However, these methods may not fully exploit test-time compute efficiently. Recent research suggests that increasing test-time computing can improve reasoning by generating longer solution… →