Natural language processing (NLP), a branch of artificial intelligence, addresses the understanding of human language (both in written and spoken form) by computers. As a scientific discipline, NLP covers tasks such as determining sentence structures and boundaries in documents, detecting keywords or phrases in audio recordings, inferring relationships between documents, and uncovering meaning in informal or slang speech patterns. NLP can make it possible to analyze oral data and recognize patterns that are not currently structured.
NLP holds the key to enabling major advances in text analysis and gaining deeper and potentially more powerful insights from social media data streams where slang or non-traditional language is prevalent.
AI Agents are artificial intelligence systems that can autonomously navigate complex workflows in digital environments using large language models. These systems possess the capability to plan, execute actions, and utilize various digital tools far beyond the information retrieval and content generation capabilities of traditional chatbots.
Self-attention is one of the key technologies transforming information processing methods in AI and deep learning models.
Energy-Efficient Computing (ENERGY-EFFICIENT COMPUTING) is a technology for performing computer operations with minimal energy consumption while maintaining performance.
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