Natural Language Processing (NLP) has rapidly evolved in the last few years, with transformers emerging as a game-changing innovation. Yet, there are still notable challenges when using NLP tools to ...

A critical challenge in Subjective Speech Quality Assessment (SSQA) is enabling models to generalize across diverse and unseen speech domains. General SSQA models evaluate many models in performing ...

Artificial intelligence (AI) and natural language processing (NLP) have seen significant advancements in recent years, particularly in the development and deployment of large language models (LLMs).

Language models have demonstrated remarkable capabilities in processing diverse data types, including multilingual text, code, mathematical expressions, images, and audio. However, a fundamental ...

The deployment of AI chatbots has long been a significant challenge for organizations, particularly for those without the necessary technical expertise or infrastructure to support advanced AI models.

AI has made significant strides in developing large language models (LLMs) that excel in complex tasks such as text generation, summarization, and conversational AI. Models like LaPM 540B and ...

The deployment of AI chatbots has long been a significant challenge for organizations, particularly for those without the necessary technical expertise or infrastructure to support advanced AI models.

Natural language processing (NLP) continues to evolve with new methods like in-context learning (ICL), which offers innovative ways to enhance large language models (LLMs). ICL involves conditioning ...

Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to fix ...

In recent years, Automatic Speech Recognition (ASR) technology has gained significant traction, transforming industries ranging from healthcare to customer support. However, achieving accurate ...

Natural language processing (NLP) continues to evolve with new methods like in-context learning (ICL), which offers innovative ways to enhance large language models (LLMs). ICL involves conditioning ...

High-performance computing has become crucial for various businesses, including scientific research and Artificial Intelligence (AI), in today’s data-driven society. By providing strong, scalable, and ...