In today's digital age, public sector institutions face increasing demands for efficient and effective service delivery. From managing administrative tasks to ensuring regulatory compliance, the challenges are multifaceted. The integration of AI virtual assistants powered by Large Language Model (LLM) applications presents a promising solution to streamline these processes. These assistants can interact seamlessly with dispersed data, provide guidance on complex procedures, and enable automated workflows, enhancing the quality of public services.
A pivotal element in enhancing LLM-powered virtual assistants is Retrieval Augmented Generation (RAG). RAG optimizes the capabilities of LLMs by enabling efficient querying of vast volumes of administrative documents and delivering contextually relevant responses. However, despite its potential, RAG in public administration remains a nascent field with challenges such as document complexity, data privacy concerns, and cost implications. This webinar aims to shed light on the role of RAG in transforming public administration, exploring its potential use cases, and discussing the challenges and opportunities for its adoption. Join us to discover how open-source RAG tools can revolutionize public administration and support the delivery of high-quality public services.
Speaker:
David Manset, Senior Project Coordinator, ITU-BDT
The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities. AI for Good is organized by the International Telecommunication Union (ITU) - the UN specialized agency for information and communication technology - in partnership with 40 UN sister agencies and co-convened with the government of Switzerland.
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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
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