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    Day 2


In an era where the volume of information overwhelms human capacity to comprehend, the challenge of making knowledge accessible, personalized, and engaging is more pressing than ever. Generative AI and Large Language Models (LLMs) stand at the vanguard of this revolution, offering unprecedented opportunities to transform how we learn and interact with information across various sectors, including public education and EdTech. 

This presentation will spotlight the transformative impact of these technologies, beginning with a deep dive into the current state of Generative AI and LLMs, both open-source and proprietary. By exploring the intricate relationship between language and knowledge, we unravel the potential of unstructured data — from Wikipedia articles and scientific publications to web pages and private data sources — as a treasure trove for knowledge discovery and education. 

As we explore the mechanisms through which Generative AI leverages data, including training methodologies like fine-tuning and Retrieval Augmented Generation (RAG), we will pinpoint high-value, low-risk applications that promise to redefine the educational landscape. The journey from a nascent idea to a fully operational AI solution is fraught with challenges, including ethical considerations and risks inherent in deploying AI solutions. Through the lens of a success story at Mesquite ISD, where Generative AI was leveraged to help students uncover their passions and aptitudes enabling the delivery of personalized learning experiences, this presentation will illustrate the practical benefits and transformative potential of Generative AI in education. 

Associated Speakers:

Nataliya Polyakovska

Lead AI Consultant


Associated Talks:

10:50AM - Day 2

View Presentation: Revolutionizing Learning – Unleashing the Power of Generative AI in Education and Beyond

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