Speakers: Alexander Small and Roberto Soriano
Abstract: In the rapidly evolving field of artificial intelligence, the quality of training data plays a crucial role in the development and performance of large language models (LLMs). In this presentation, cofounders Roberto Soriano and Alexander Small of Mavn AI will delve into the intricacies of how LLMs are trained and why the quality of the data they learn from is paramount. Unlike data scraped from the internet, which can be noisy and unreliable, Mavn AI specializes in curating high-quality, human-verified data that ensures optimal model performance. The presentation will also explore Mavn AI’s unique approach to data validation, its impact on the AI landscape, and the company’s vision for the future. Join us to discover how Mavn AI is setting new standards in AI training and what lies ahead for this innovative startup.
Alexander Small bio: Alexander leads the technical vision and product development of Mavn AI, driving the company's mission to democratize access to superior training data for LLMs. Alexander is currently pursuing both his BS and MS in Software Engineering at St. Mary’s University while steering Mavn AI towards becoming a leader in AI data curation.
Roberto Soriano bio: Roberto was born and raised in El Salvador, he is currently finishing his degree in Business management at St. Mary’s University. Roberto has helped his father scale their family business for the past 4 years and is now taking on operations and finance for Mavn AI.
Room: Alumni Conference Room, Bldg: University Center , One Camino Santa Maria, San Antonio, Texas, United States, 78228