• AI Reasoning: How Machines Think and Learn

  • 2024/09/17
  • 再生時間: 40 分
  • ポッドキャスト

AI Reasoning: How Machines Think and Learn

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  • In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu break down the complex world of AI reasoning in anticipation of the OpenAI's o1 (aka strawberry) model. They explain how AI systems make decisions, from neural networks to symbolic logic, and discuss the growing importance of explainable AI. The conversation covers key trends in AI reasoning, including neurosymbiolic systems and human-AI collaboration, with practical examples of how these concepts are being applied to build AI software in support of student recruitment and engagement.Introduction to AI Reasoning (00:00:06)JC Bonilla and Ardis Kadiu discuss the importance of AI reasoningOverview of knowledge representation, reasoning algorithms, and learning algorithms in AITypes of Reasoning in AI (00:07:03)Explanation of deductive, inductive, abductive, and common sense reasoningHow these reasoning types are applied in AI systemsExplainable AI (XAI) (00:15:54)Definition and importance of explainable AIExample of XAI in loan application processesDiscussion on transparency, fairness, and model improvementNeurosymbolic AI (00:24:26)Integration of neural networks and symbolic reasoningExample of neurosymbolic reasoning in medical diagnosisBenefits of combining deep learning with domain-specific expertiseHuman-AI Collaboration (00:29:22)Concept of "human in the loop" in AI systemsApplications in various industries including higher educationBalancing AI autonomy with human input and oversightAI Reasoning in Higher Education (00:30:29)Ardis Kadiu explains Element451's approach to AI reasoningDiscussion on building AI playbooks for student recruitment and engagementChallenges in encoding expert knowledge into AI systemsLLMs and Reasoning Capabilities (00:32:36)Limitations of current Large Language Models (LLMs) in true reasoningExplanation of how LLMs currently predict based on patterns rather than reasonThe need for step-by-step reasoning data to improve LLM capabilitiesOpenAI's O1 (Strawberry) Model (00:35:58)Introduction to OpenAI's anticipated reasoning breakthrough model, O1 (aka Strawberry)Explanation of the "Strawberry problem" in AI reasoningDiscussion on the potential impact of true reasoning capabilities in AI systemsThe Future of AI Reasoning in Education (00:37:22)Implications of improved AI reasoning for personalized student engagementPotential for AI to make more informed decisions in educational contextsThe importance of developing AI systems that can truly reason, not just predictConclusion and Implications (00:37:59)Recap of key AI reasoning concepts and their importance in higher educationDiscussion on the ethical considerations and regulatory aspects of AI in educationFinal thoughts on the future of AI reasoning and its potential to transform higher education - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout 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 30Register 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.
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In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu break down the complex world of AI reasoning in anticipation of the OpenAI's o1 (aka strawberry) model. They explain how AI systems make decisions, from neural networks to symbolic logic, and discuss the growing importance of explainable AI. The conversation covers key trends in AI reasoning, including neurosymbiolic systems and human-AI collaboration, with practical examples of how these concepts are being applied to build AI software in support of student recruitment and engagement.Introduction to AI Reasoning (00:00:06)JC Bonilla and Ardis Kadiu discuss the importance of AI reasoningOverview of knowledge representation, reasoning algorithms, and learning algorithms in AITypes of Reasoning in AI (00:07:03)Explanation of deductive, inductive, abductive, and common sense reasoningHow these reasoning types are applied in AI systemsExplainable AI (XAI) (00:15:54)Definition and importance of explainable AIExample of XAI in loan application processesDiscussion on transparency, fairness, and model improvementNeurosymbolic AI (00:24:26)Integration of neural networks and symbolic reasoningExample of neurosymbolic reasoning in medical diagnosisBenefits of combining deep learning with domain-specific expertiseHuman-AI Collaboration (00:29:22)Concept of "human in the loop" in AI systemsApplications in various industries including higher educationBalancing AI autonomy with human input and oversightAI Reasoning in Higher Education (00:30:29)Ardis Kadiu explains Element451's approach to AI reasoningDiscussion on building AI playbooks for student recruitment and engagementChallenges in encoding expert knowledge into AI systemsLLMs and Reasoning Capabilities (00:32:36)Limitations of current Large Language Models (LLMs) in true reasoningExplanation of how LLMs currently predict based on patterns rather than reasonThe need for step-by-step reasoning data to improve LLM capabilitiesOpenAI's O1 (Strawberry) Model (00:35:58)Introduction to OpenAI's anticipated reasoning breakthrough model, O1 (aka Strawberry)Explanation of the "Strawberry problem" in AI reasoningDiscussion on the potential impact of true reasoning capabilities in AI systemsThe Future of AI Reasoning in Education (00:37:22)Implications of improved AI reasoning for personalized student engagementPotential for AI to make more informed decisions in educational contextsThe importance of developing AI systems that can truly reason, not just predictConclusion and Implications (00:37:59)Recap of key AI reasoning concepts and their importance in higher educationDiscussion on the ethical considerations and regulatory aspects of AI in educationFinal thoughts on the future of AI reasoning and its potential to transform higher education - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout 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 30Register 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.

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