BEGIN:VCALENDAR
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PRODID:-//LTTC LLM Studio - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://llm.eduhk.hk
X-WR-CALDESC:Events for LTTC LLM Studio
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Hong_Kong
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20240101T000000
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END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20250217T143000
DTEND;TZID=Asia/Hong_Kong:20250217T160000
DTSTAMP:20260411T021534
CREATED:20250225T065942Z
LAST-MODIFIED:20250226T032423Z
UID:853-1739802600-1739808000@llm.eduhk.hk
SUMMARY:Generative AI Tools for Data Processing and Analysis
DESCRIPTION:Abstract\n\n\n\n\nThis intermediate-level workshop introduces practical solutions for using generative AI tools to support data processing and analysis tasks through interaction with large language models (LLMs) on the LTTC LLM Studio’s Model-as-a-Service (MaaS) platform. Participants with foundational knowledge in data analysis and AI acquired from our introductory-level workshop will gain hands-on experience utilising generative AI in the data analysis process. Specifically\, they will create a custom application on the MaaS platform\, develop a specialised knowledge base tailored to their data analysis needs\, and generate statistical descriptions based on their data. We will also discuss strategies such as prompt engineering and Retrieval-Augmented Generation (RAG) to improve the relevance and quality of AI-generated outputs. Additionally\, participants will learn about the limitations of generative AI in data processing and analysis and how to assess the validity of AI-generated outputs critically.
URL:https://llm.eduhk.hk/event/generative-ai-tools-for-data-processing-and-analysis
LOCATION:E-P-12 (Metaverse Education Lab)
CATEGORIES:Intermediate-level Workshop
ATTACH;FMTTYPE=image/png:https://llm.eduhk.hk/wp-content/uploads/2024/09/Banner-W2-Demos-EN-new.png
ORGANIZER;CN="LTTC LLM Studio":MAILTO:llm@eduhk.hk
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