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Детали

  • 6pm Pizza
  • 6:30 Presentation
  • 7:15 Group Discussion
  • 7:45 Door prizes

Beyond LLMs : Concepts, Actions, and Graphs

The world of Large Language Models (LLMs) has cast its shadow on the world in both positive and negative ways. We understand the risks and benefits and no longer foolishly believe that everything will be solved by scale.
The next-generation systems are already being researched, designed, and built and they are coming to an AI-system near you before you know. These include Large Concept Models (LCMs), Large Action Models (LAMs), and the intersection of RAG systems and knowledge graphs.
In this presentation I will provide highlights and examples of each of these approaches and show you how to get started with these evolutionary approaches to providing context to language models based upon what we already know.

Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. His experience has spanned many industries including retail, banking, online games, defense, finance, hospitality and health care. He has a B.S. in Computer Science from the College of William and Mary and lives in Auburn, CA. He focuses on web architecture, resource-oriented computing, social networking, the Semantic Web, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies of the late 20th and early 21st Centuries. He is also a rabid reader, devoted foodie and has excellent taste in music. If pressed, he might tell you about his International Pop Recording career.

UJUG is a non-profit serving the Utah technology community since 1999, supported by generous sponsors Tek Systems, STG, and O.C. Tanner.

Итог по ИИ

От Meetup

UJUG meetup for Utah developers featuring Brian Sletten; attendees will gain practical insights into web architecture and semantic technologies.

Связанные темы

Artificial Intelligence
Artificial Intelligence Applications
Artificial Intelligence Programming
Software Development
Software Engineering

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