Large language models (LLMs) rely on deep learning architectures that capture complex linguistic relationships within layered structures. Primarily based on Transformer architectures, these models are ...

The development of Artificial Intelligence (AI) tools has transformed data processing, analysis, and visualization, increasing the efficiency and insight of data analysts’ work. With so many ...

Artificial intelligence has recently expanded its role in areas that handle highly sensitive information, such as healthcare, education, and personal development, through advanced language models ...

In recent years, the surge in large language models (LLMs) has significantly transformed how we approach natural language processing tasks. However, these advancements are not without their drawbacks.

Transformer-based architectures have revolutionized natural language processing, delivering exceptional performance across diverse language modeling tasks. However, they still face major challenges ...

In the fast-moving world of artificial intelligence and machine learning, the efficiency of deploying and running models is key to success. For data scientists and machine learning engineers, one of ...

In the rapidly evolving world of artificial intelligence and machine learning, the demand for powerful, flexible, and open-access solutions has grown immensely. Developers, researchers, ...

Quality of Service (QoS) is a very important metric used to evaluate the performance of network services in mobile edge environments where mobile devices frequently request services from edge servers.

Rotary Positional Embeddings (RoPE) is an advanced approach in artificial intelligence that enhances positional encoding in transformer models, especially for sequential data like language.

Messenger RNA (mRNA) plays a crucial role in protein synthesis, translating genetic information into proteins via a process that involves sequences of nucleotides called codons. However, current ...

The rapid growth of large language models (LLMs) has brought significant advancements across various sectors, but it has also presented considerable challenges. Models such as Llama 3 have made ...

Multimodal large language models (MLLMs) rapidly evolve in artificial intelligence, integrating vision and language processing to enhance comprehension and interaction across diverse data types. These ...