Large language model
“Sleep staging for diagnosing sleep disorders is crucial but challenging to scale due to the need for clinical expertise. Deep learning models can help, but require large labeled datasets. Self-supervised learning (SSL) can reduce this need, but recent studies indicate performance plateaus after training with data from only tens of subjects, falling short of larger…
Neural knowledge-to-text generation models sometimes struggle to accurately describe input facts, leading to contradictions or adding false information. To combat this, a new decoding method called TWEAK (Think While Effectively Articulating Knowledge) has been proposed. TWEAK treats generated sequences as hypotheses and ranks them based on how well they support input facts using a Hypothesis…
In today’s rapidly evolving generative AI world, deepsense.ai aims to establish new solutions by combining Advanced Retrieval-Augmented Generation (RAG) with Small Language Models (SLMs). SLMs are compact versions of Language Models with fewer parameters, offering benefits like cost reduction, improved data privacy, and seamless offline functionality. The achievements and ongoing research represent efforts to enhance…