MultiOn AI has recently announced the release of its latest innovation, the Retrieve API, an autonomous web information retrieval API designed to revolutionize how developers and businesses extract and utilize web data. This groundbreaking API complements the previously launched Agent API, offering a comprehensive solution for autonomous web browsing and data extraction. The development of… →
CONCLUSIONS: The construction method of pediatric zirconia crowns does not significantly affect the periodontal health of primary molars; however, clinical performance is significantly affected in terms of retention and fracture resistance. →
CONCLUSIONS AND RELEVANCE: Our exploratory study shows that specific biomarkers, especially CRP combined with IL6, could help to better diagnose or predict early VAP occurrence in cardiac arrest patients. →
Background: Worldwide, infertility affects about 15% of reproductive-age couples. In many cases, infertility can’t be treated, however new treatment options with promising value have been involved in recent clinical trials. The aim of this clinical trial was to evaluate the impacts of adding coenzyme Q10 (CoQ10) to letrozole on the results of spermiogram and sex… →
BACKGROUND: Developing cancer in young adulthood is a non-normative life event and associated with adverse physical, social and psychological consequences. High psychological distress is common in AYA cancer patients including anxiety, depression or fear of recurrence. At the same time, it is well known that AYA often report unmet needs for support, particularly in terms… →
CONCLUSIONS: Compared to inflation with air, normal saline and 2% lidocaine cannot ameliorate the increase of tracheal tube cuff pressure during the pneumoperitoneum period under general anesthesia, but lidocaine can decrease postoperative tracheal mucosa injury. ΔCD measured by ultrasound is a predictor for changes of tracheal tube cuff pressure. →
Synthetic data generation has become crucial in training large language models (LLMs). This field focuses on creating artificial data sets that mimic real-world data, allowing researchers to train and evaluate machine learning models effectively without compromising privacy or requiring extensive data collection efforts. The methodology behind synthetic data creation aims to provide diverse and scalable… →
With the recent advancement of deep generative models, the challenge of denoising has also become apparent. Diffusion models are trained and designed similarly to denoisers, and their modeled distributions agree with denoising priors when applied in a Bayesian setting. However, blind denoising, when these parameters are unknown, is difficult since conventional diffusion-based denoising techniques require… →
In the dynamic world of technology, Large Language Models (LLMs) have become pivotal across various industries. Their adeptness at natural language processing, content generation, and data analysis has paved the way for numerous applications. Let’s explore 15 detailed examples of how companies harness LLMs in real-world scenarios. Netflix: Evolving Big Data Job Remediation Netflix has… →
Regarding enterprise-level functionality, many current LLM suppliers still need to catch up. One major issue is the need for a reliable method for regulating LLM expenditures on a per-user, per-project, per-environment, per-feature basis, etc. A granular method of monitoring LLMs has yet to be created. However, technical resources should be better spent releasing technologies that… →