Neural contextual bias allows speech recognition models to leverage contextually relevant information, improving transcription accuracy. However, the bias mechanism is ...
Retrieval-Augmented Generation (RAG) is a framework that improves language models by combining two main components: Retriever and Generator. A RAG ...
Budgets for educational technology continue to be a challenge, especially when many schools' finances are stretched thin to begin with. ...
Large language models (LLMs) have demonstrated consistent scaling laws, revealing a power-law relationship between pre-training performance and computational resources. This ...
Training large language models (LLMs) that can handle long context processing remains a difficult task due to limitations of data ...
Researchers have focused on developing and building models to efficiently process and compare human language in natural language processing. A ...
Understanding multi-page documents and news videos is a common task in people’s daily lives. To address these scenarios, large multimodal ...
Together ai has introduced an innovative technique known as teal (Iraining-Fremy TOShortage of activation in ILM) which has the potential ...
This paper was accepted into the IEEE Spoken Language technology (SLT) 2024 Workshop. In this paper, we propose an algorithm ...
Editor's image Machine learning (ML) algorithms are essential for creating intelligent models that learn from data to solve a particular ...
