增强知识发现的人工智能技术.pdf

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1、AI Techniques for Enhanced Knowledge DiscoveryTransforming Information Accessby Abhai Pratap SinghAgenda1Knowledge Discovery ChallengesUnderstanding current limitations in information retrieval and knowledge management.2Multimodal AI FrameworksExploring how AI integrates multiple data types for enha

2、nced understanding.3Advanced Processing TechniquesNLU,visual integration,and cross-modal mechanisms transforming knowledge systems.4Implementation&Ethical ConsiderationsTechnical challenges,business impact,and responsible AI deployment strategies.Knowledge Discovery ChallengesInformation OverloadUse

3、rs drowning in information but starving for answers,with many abandoning searches before finding what they need.Search AbandonmentUsers typically give up after just 1-2 failed search attempts,representing massive lost productivity.Interface LimitationsText search boxes have barely evolved in 20 year

4、s,while our information needs have grown exponentially more complex.Every minute spent searching instead of finding directly impacts productivity and opportunity costs while user expectations continue to grow.What is Multimodal AI?Systems that process multiple types of input simultaneously,integrati

5、ng different information streams to build comprehensive understanding.Text ProcessingUnderstands written content through advanced language processing.Speech RecognitionConverts spoken language into text and derives meaning.Visual UnderstandingInterprets images,videos,diagrams and visual content.Join

6、t RepresentationUnifies different types of data,similar to human cognition.Evolution of LLMs to Multimodal LLMs1Text-Only Models(2017-2019)Early LLMs like GPT and BERT processed only text inputs.They revolutionized NLP but remained limited to single-mode understanding.2Vision Integration(2020-2021)M