In today’s fast-paced world of software development, artificial intelligence plays a crucial role in simplifying workflows, speeding up coding tasks, and ensuring quality. But despite its promise, efficient AI-driven code generation remains elusive. Many models struggle to deliver quick responses, support a wide range of programming languages, or handle specialized tasks like fill-in-the-middle (FIM) code… →
Knowledge Retrieval systems have been prevalent for decades in many industries, such as healthcare, education, research, finance, etc. Their modern-day usage has integrated large language models(LLMs) that have increased their contextual capabilities, providing accurate and relevant answers to user queries. However, to better rely on these systems in cases of ambiguous queries and the latest… →
The rapid advancements in artificial intelligence have opened new possibilities, but the associated costs often limit who can benefit from these technologies. Large-scale models like GPT-4 and OpenAI’s o1 have demonstrated impressive reasoning and language capabilities, but their development and training remain financially and computationally burdensome. This creates barriers for smaller organizations, academic institutions, and… →
CONCLUSION: This trial will offer insights into how incorporating technology-driven approaches, such as Acugraph, with physiotherapy can enhance the customization and effectiveness of KOA management, leading to improved clinical outcomes. These results could advocate for the integration of technological tools in acupuncture to boost treatment precision and efficacy for KOA. →
Large language models (LLMs) have become crucial tools for applications in natural language processing, computational mathematics, and programming. Such models often require large-scale computational resources to execute inference and train the model efficiently. To reduce this, many researchers have devised ways to optimize the techniques used with these models. A strong challenge in LLM optimization… →
CONCLUSIONS AND RELEVANCE: In this prespecified secondary analysis of a randomized clinical trial of ADT plus AAP, APA alone, or APA plus AAP for patients with advanced CSPC, HRQOL was not statistically different between treatments with APA alone or APA plus AAP as compared with ADT plus AAP. Larger studies with longer follow-up and more… →
Atrophic acne scars present a significant therapeutic challenge. While subcision with various adjunctive treatments, including fractional CO₂ lasers and polydioxanone (PDO) threads, has been employed for scar remodeling, comparative evidence on their efficacy remains limited. This study aims to compare the clinical efficacy and patient satisfaction between subcision with fractional CO₂ laser and subcision with… →
CONCLUSION: The use of a multidisciplinary rehabilitation approach, including nutritional support, magnetic therapy and psychological assistance, demonstrates a significant improvement in symptom management and quality of life in patients with melanoma after surgical treatment. →
Artificial Intelligence (AI) has made significant strides in various fields, including healthcare, finance, and education. However, its adoption is not without challenges. Concerns about data privacy, biases in algorithms, and potential job displacement have raised valid questions about its societal impact. Additionally, the “black box” nature of many AI systems makes it difficult to understand… →