Large language models (LLMs) encounter significant difficulties in performing efficient and logically consistent reasoning. Existing methods, such as CoT prompting, are extremely computationally intensive, not scalable, and unsuitable for real-time applications or limited resources. These limitations restrict their applicability in financial analysis and decision-making, which require speed and accuracy. State-of-the-art reasoning approaches, like CoT, build… →
Machine unlearning is driven by the need for data autonomy, allowing individuals to request the removal of their data’s influence on machine learning models. This field complements data privacy efforts, which focus on preventing models from revealing sensitive information about the training data through attacks like membership inference or reconstruction. While differential privacy methods limit… →
The semiconductor industry enables advancements in consumer electronics, automotive systems, and cutting-edge computing technologies. The production of semiconductors involves sophisticated processes that demand unparalleled precision and expertise. These processes include chip design, manufacturing, testing, and optimization, each stage requiring deep domain knowledge. The field has traditionally depended on seasoned engineers whose experience has been built… →
Large language models (LLMs) are integral to solving complex problems across language processing, mathematics, and reasoning domains. Enhancements in computational techniques focus on enabling LLMs to process data more effectively, generating more accurate and contextually relevant responses. As these models become complex, researchers strive to develop methods to operate within fixed computational budgets without sacrificing… →
3 Trillion Dollars—Yes, You Heard That Right That staggering number isn’t just a milestone; it’s the current valuation of NVIDIA. From pioneering the GPU to spearheading the revolution in artificial intelligence, NVIDIA’s ascent to a three trillion-dollar empire encapsulates not just exceptional growth but a relentless drive to innovate and redefine the boundaries of what… →
CONCLUSION: The findings of this study indicate that although PTX has similar efficacy in terms of wound healing and analgesic properties to the methods used, it does not offer significant advantages. Compared with other methods, A-PRF and PBM have provided better results in the treatment of alveolar osteitis, particularly regarding pain and soft tissue healing. →
INTRODUCTION: People with cystic fibrosis (PwCF) are at high risk for developing cystic fibrosis (CF)-related diabetes (CFRD), which worsens morbidity and mortality. Although the pathological events leading to the development of CFRD are complex and not completely understood, dietary factors may play a role. For example, habitual intake of dietary added sugar (i.e., sugar not… →
Code generation using Large Language Models (LLMs) has emerged as a critical research area, but generating accurate code for complex problems in a single attempt remains a significant challenge. Even skilled human developers often require multiple iterations of trial-and-error debugging to solve difficult programming problems. While LLMs have demonstrated impressive code generation capabilities, their self-debugging… →
The monopolization of any industry into the hands of a few giant companies has always been a matter of concern. Now, even artificial intelligence (AI) has fallen prey to these circumstances. Such monopolization of AI raises concerns like the concentration of power and resources, data monopoly and privacy, lack of transparency, and accountability. Furthermore, biases… →
The field of Natural Language Processing (NLP) has made significant strides with the development of large-scale language models (LLMs). However, this progress has brought its own set of challenges. Training and inference require substantial computational resources, the availability of diverse, high-quality datasets is critical, and achieving balanced utilization in Mixture-of-Experts (MoE) architectures remains complex. These… →