Current datasets used to train and evaluate AI-based mathematical assistants, particularly LLMs, are limited in scope and design. They often…
Machine Learning
Multi-agent systems (MAS) are pivotal in artificial intelligence, enabling multiple agents to work collaboratively to solve intricate tasks. These systems…
Graphical User Interfaces (GUIs) play a fundamental role in human-computer interaction, providing the medium through which users accomplish tasks across…
Artificial Intelligence (AI) has been making significant advances with an exponentially growing trajectory, incorporating vast amounts of data and building…
The advancement of artificial intelligence hinges on the availability and quality of training data, particularly as multimodal foundation models grow…
The transformation of unstructured news texts into structured event data represents a critical challenge in social sciences, particularly in international…
Large Language Models (LLMs) have demonstrated remarkable similarities to human cognitive processes’ ability to form abstractions and adapt to new…
Large Language Models (LLMs) have demonstrated impressive proficiency in numerous tasks, but their ability to perform multi-step reasoning remains a…
The business landscape is undergoing a profound transformation, driven by artificial intelligence technologies that are reshaping how companies approach sales…
Visual generative models have advanced significantly in terms of the ability to create high-quality images and videos. These developments, powered…
The evolution of speech and language technology has led to improvements in areas like voice assistants, transcription, and sentiment analysis.…
The widespread use of large-scale language models (LLMs) in safety-critical areas has brought forward a crucial challenge: how to ensure…
Static analysis is an inherent part of the software development process since it enables such activities as bug finding, program…
Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at…
The increasing complexity of cloud computing has brought both opportunities and challenges. Enterprises now depend heavily on intricate cloud-based infrastructures…
Customers need better accuracy to take generative AI applications into production. In a world where decisions are increasingly data-driven, the…
When building voice-enabled chatbots with Amazon Lex, one of the biggest challenges is accurately capturing user speech input for slot…
Viruses infect organisms across all domains of life, playing key roles in ecological processes such as ocean biogeochemical cycles and…
The Large Language Models (LLMs) are highly promising in Artificial Intelligence. However, despite training on large datasets covering various languages …
Reinforcement Learning, despite its popularity in a variety of fields, faces some fundamental difficulties that refrain users from exploiting its…