At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the future of AI belongs to open agent systems, not just open models.
Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
Abstract: Topic modeling has emerged as a vital tool for extracting interpretable topics from large volumes of textual data. Although topic modeling techniques have evolved from the word ...
Abstract: This research examines the use of BERTopic for topic modeling in Indonesian news articles sourced from seven prominent media outlets. A customized preprocessing pipeline was developed to ...
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