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Скачать или смотреть Retrieval: Finding External & Internal Information | AI Capabilities Explained [2025]

  • Connolly Alexander Institute for Data Science
  • 2025-11-24
  • 2
Retrieval: Finding External & Internal Information | AI Capabilities Explained [2025]
CAIDSTulaneAI
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Описание к видео Retrieval: Finding External & Internal Information | AI Capabilities Explained [2025]

Discover how modern AI models utilize the capability of retrieval to move beyond just their internal knowledge and access information from external web sources and internal documents.

🎓 In this video, you'll learn about:
-The limitations of early AI models (like the original ChatGPT) which lacked web search and often used outdated information due to their training cutoff date.
-External retrieval: How modern AI tools use web search to actively go out, find, and process current information from the internet.
-Internal retrieval: The process of providing AI with your own large documents (like lecture transcripts or papers) to retrieve specific insights, such as promises made during a class or relationships between different internal reports.

Retrieval refers to AI's ability to pull information from sources outside of its core training data. While early tools struggled, today all main AI tools leverage external retrieval via web search to gather and process current information. Additionally, internal retrieval allows users to input their own documents—such as transcripts from a semester's worth of classes—and use the AI to efficiently retrieve specific details, connections, or summaries from those private sources.

📚 ABOUT THIS COURSE:
This video is part of the Applied AI Literacy Course developed by Tulane Professor Knud Berthelsen for Newcomb-Tulane College Career Services. Tulane students, faculty, and staff can enroll in the complete course at https://careerengagement.tulane.edu/r....

📖 RELATED PLAYLISTS:
AI Capabilities Explained:    • AI Capabilities Explained  
Why AI Literacy Matters:    • Why AI Literacy Matters  

🔗 RESOURCES:
CAIDS Website: https://datainstitute.tulane.edu/
Professor Berthelsen's Website: https://knudberthelsen.com/

📍 ABOUT CAIDS: The Connolly Alexander Institute for Data Science (CAIDS) at Tulane University advances AI literacy and data science education through research, teaching, and community engagement.

👨‍🏫 ABOUT THE INSTRUCTOR: Professor Knud Berthelsen holds a joint appointment in the Strategy, Leadership & Analytics Minor (SLAM) at the School of Liberal Arts and at the Connolly Alexander Institute for Data Science (CAIDS). His work focuses on generative AI tools, their societal impact, and increasing applied AI literacy.

📧 CONNECT WITH CAIDS:
Subscribe for more AI education content
Questions? Leave them in the comments
Visit: https://datainstitute.tulane.edu/

#ArtificialIntelligence #AICapabilities #AIEducation #GenerativeAI #tulane #AIRetrieval

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