???? ?????????????????????????? ?????????? ??????: ???????????????????? ???????? ???????????? ?????????????? ???????? ??????????????????! ??
?? ???????????????????? ????????: Refers to advanced AI systems designed to understand, process and generate responses based on diverse types of input (text, images, audio & video)
?? ?????????? ???????? ??????????????????????: When applied to local data, multimodal LLMs can process and generate insights from data stored on local federal systems including local files, databases, or in-house applications
?? Such models can effectively interact with and analyze local federal datasets and integrate diverse information sources to enhance federal data understanding and decision-making.
Eg.
?? ?? Multimodal LLMs can analyze local reports and images to generate summaries or identify patterns.
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?? ?? They can provide or update documentation based on local data sources, linking text from reports with visual data from graphs or charts.
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?? ?? Multimodal LLMs can improve federal user interactions by understanding and responding to diverse inputs, such as voice commands and text or image queries.
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?? ???????????????? ????????????????: A federal agency analyzing intelligence data could use a multimodal LLM to process and correlate textual intelligence reports and surveillance videos to accurately identify potential threats
?????????????? ????????????: During a health crisis, a multimodal LLM could combine patient records, medical imaging, and epidemiological data to provide comprehensive insights for disease monitoring and response strategies.
?? ?? A Multimodal LLM for local data interaction offers federal agencies enhanced capabilities for data processing and analysis, privacy and security, efficiency, decision-making, and user interaction, which allows them to handle complex and sensitive data securely and effectively.
#LLM #MultimodalLLM #FederalAI #LocalDataInteraction #DemocratizeAI #PublicSectorAI #FederalGPT #GenAI #GenerativeAI
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