Since the release of BERT in 2018, encoder-only transformer models have been widely used in natural language processing (NLP) applications due to their efficiency in retrieval and classification tasks ...

In today's world, Multimodal large language models (MLLMs) are advanced systems that process and understand multiple input forms, such as text and images. By interpreting these diverse inputs, they ...

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 ...

Large language models (LLMs) built using transformer architectures heavily depend on pre-training with large-scale data to predict sequential tokens. This complex and resource-intensive process ...

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 ...

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 ...

The business landscape is undergoing a profound transformation, driven by artificial intelligence technologies that are reshaping how companies approach sales and customer relationships. As we ...

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 ...

Large language models (LLMs) encounter significant difficulties in performing efficient and logically consistent reasoning. Existing methods, such as CoT prompting, are extremely computationally ...

Artificial intelligence (AI) is reshaping the way we approach everyday tasks, simplifying processes, and unlocking new levels of efficiency. AI tools enhance productivity and offer innovative ...

Creating engaging, high-quality content has never been easier, thanks to the rapid advancement and availability of AI-powered tools. These innovative platforms are revolutionizing the way creators and ...

Multimodal reasoning—the ability to process and integrate information from diverse data sources such as text, images, and video—remains a demanding area of research in artificial intelligence (AI).