Mitigating Risks in Speech and LLMs: Security, Safety, and Human Value Alignment
In recent years, Integrated Speech and Large Language Models (SLMs) have gained significant popularity due to their ability to understand
Read MoreIn recent years, Integrated Speech and Large Language Models (SLMs) have gained significant popularity due to their ability to understand
Read MoreIn recent years, Large Language Models (LLMs) like GPT 3.5 and GPT 4 have captured the attention of the Artificial
Read MoreArtificial neural networks (ANNs) have demonstrated remarkable capabilities in learning and pattern recognition tasks. These systems, inspired by the human
Read MoreGoogle has recently unveiled a groundbreaking development in the field of artificial intelligence with the introduction of PaliGemma, a new
Read MoreIn today’s rapidly evolving technological landscape, the field of computing education faces unique challenges. With the increasing demand for computing
Read MoreData annotation is an essential process for training machine learning models. It involves labeling data to provide the necessary information
Read MoreKnowledge distillation has become a widely adopted technique for transferring knowledge from a larger “teacher” model to a smaller “student”
Read MoreArtificial Intelligence (AI) has been rapidly evolving, with increasingly complex and powerful models being developed. However, as AI becomes more
Read MoreIn the field of traffic management and urban planning, understanding the optimal routes that individuals take and the factors that
Read MoreIn the field of computational linguistics, the challenge of bridging the gap between human language and machine understanding of databases
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