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Вміст надано Enrollify, Ardis Kadiu, and Dr. JC Bonilla. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Enrollify, Ardis Kadiu, and Dr. JC Bonilla або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
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Mapping the Mind of a LLM

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Manage episode 426709931 series 3541344
Вміст надано Enrollify, Ardis Kadiu, and Dr. JC Bonilla. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Enrollify, Ardis Kadiu, and Dr. JC Bonilla або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

This episode of Generation AI dives into a groundbreaking research paper on model interpretability in large language models. Dr. JC Bonilla and Ardis Kadiu discuss how this new understanding of AI's inner workings could change the landscape of AI safety, ethics, and reliability. They explore the similarities between human brain function and AI models, and how this research might help address concerns about AI bias and unpredictability. The conversation highlights why this matters for higher education professionals and how it could shape the future of AI in education. Listeners will gain key insights into the latest AI developments and their potential impact on the field.

Introduction to Model Interpretability

  • Overview of the research paper "Mapping the Mind of a Large Language Model"
  • Explanation of the black box problem in AI and why interpretability matters

Understanding AI's Inner Workings

  • Comparison between human brain function and AI model processes
  • Discussion of neurons, features, and dictionary learnings in AI models

Types of AI Features

  • Exploration of concrete entities (e.g., people, countries)
  • Abstract concepts and emotional features in AI models
  • How these features influence AI outputs

Implications for AI Safety and Ethics

  • Potential for improving AI reliability and reducing bias
  • Discussion on the limitations of current safety measures
  • How feature understanding could shape future AI development

Impact on Higher Education

  • Addressing concerns about AI outputs in educational settings
  • Potential for more trustworthy and ethical AI systems in education
  • Future possibilities for AI in teaching and learning

Looking Ahead: The Future of AI

  • Debate on whether this research will lead to artificial general intelligence
  • Challenges in scaling interpretability to larger models
  • The ongoing need for responsible AI development and deployment

- - - -
Connect With Our Co-Hosts:
Ardis Kadiu
https://www.linkedin.com/in/ardis/
https://twitter.com/ardis

Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/
https://twitter.com/jbonillx

About The Enrollify Podcast Network:
Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Some of our favorites include The EduData Podcast and Visionary Voices: The College President’s Playbook.

Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.

Element451 is hosting the AI Engage Summit on Oct 29 and 30
Register now for this free, virtual event.
The future of higher ed is being redefined by the transformative power of AI. The AI Engage Summit brings together higher ed leaders, innovators, and many of your favorite Enrollify creators to explore AI’s impact on student engagement, enrollment marketing, and institutional success. Experience firsthand how AI is improving content personalization at scale, impacting strategic decision-making, and intuitively automating the mundane tasks that consume our time. The schedule is packed with real examples and case studies, so you leave knowing how to harness AI to drive meaningful change at your institution. Whether you’re looking to enhance student outcomes, optimize enrollment marketing, or simply stay ahead of the curve, the AI Engage Summit is your gateway to the next level of higher education innovation. Registration is free, save your spot today.

  continue reading

47 епізодів

Artwork
iconПоширити
 
Manage episode 426709931 series 3541344
Вміст надано Enrollify, Ardis Kadiu, and Dr. JC Bonilla. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Enrollify, Ardis Kadiu, and Dr. JC Bonilla або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

This episode of Generation AI dives into a groundbreaking research paper on model interpretability in large language models. Dr. JC Bonilla and Ardis Kadiu discuss how this new understanding of AI's inner workings could change the landscape of AI safety, ethics, and reliability. They explore the similarities between human brain function and AI models, and how this research might help address concerns about AI bias and unpredictability. The conversation highlights why this matters for higher education professionals and how it could shape the future of AI in education. Listeners will gain key insights into the latest AI developments and their potential impact on the field.

Introduction to Model Interpretability

  • Overview of the research paper "Mapping the Mind of a Large Language Model"
  • Explanation of the black box problem in AI and why interpretability matters

Understanding AI's Inner Workings

  • Comparison between human brain function and AI model processes
  • Discussion of neurons, features, and dictionary learnings in AI models

Types of AI Features

  • Exploration of concrete entities (e.g., people, countries)
  • Abstract concepts and emotional features in AI models
  • How these features influence AI outputs

Implications for AI Safety and Ethics

  • Potential for improving AI reliability and reducing bias
  • Discussion on the limitations of current safety measures
  • How feature understanding could shape future AI development

Impact on Higher Education

  • Addressing concerns about AI outputs in educational settings
  • Potential for more trustworthy and ethical AI systems in education
  • Future possibilities for AI in teaching and learning

Looking Ahead: The Future of AI

  • Debate on whether this research will lead to artificial general intelligence
  • Challenges in scaling interpretability to larger models
  • The ongoing need for responsible AI development and deployment

- - - -
Connect With Our Co-Hosts:
Ardis Kadiu
https://www.linkedin.com/in/ardis/
https://twitter.com/ardis

Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/
https://twitter.com/jbonillx

About The Enrollify Podcast Network:
Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Some of our favorites include The EduData Podcast and Visionary Voices: The College President’s Playbook.

Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.

Element451 is hosting the AI Engage Summit on Oct 29 and 30
Register now for this free, virtual event.
The future of higher ed is being redefined by the transformative power of AI. The AI Engage Summit brings together higher ed leaders, innovators, and many of your favorite Enrollify creators to explore AI’s impact on student engagement, enrollment marketing, and institutional success. Experience firsthand how AI is improving content personalization at scale, impacting strategic decision-making, and intuitively automating the mundane tasks that consume our time. The schedule is packed with real examples and case studies, so you leave knowing how to harness AI to drive meaningful change at your institution. Whether you’re looking to enhance student outcomes, optimize enrollment marketing, or simply stay ahead of the curve, the AI Engage Summit is your gateway to the next level of higher education innovation. Registration is free, save your spot today.

  continue reading

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