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Gene Leybzon
Chief Architect implementing best practices of Generative AI at GlobalLogic
Gene Leybzon is a seasoned expert in blockchain technology with a focus on Smart Contract development on the Ethereum Network.
He has a strong background in software development, microservices architecture, and DevOps, offering training and education on best practices in these areas.
As the former CTO at Loyalize, Gene was instrumental in architecting and developing a white-label social TV solution, used by popular platforms like Yahoo7 and in major events like Super Bowl and Oscars TV production.
During his tenure at Trusted Opinion, he oversaw the design and development of a multi-language product and service recommendation social network, leading to scalability for over a million registered users.
Gene Leybzon holds a Master's degree in Computer Science from Washington University in St. Louis and has held various high-ranking positions at reputable companies like GlobalLogic, EPAM Systems, Accenture, and Mobiquity Inc.
With a diverse professional background ranging from software architecture to executive roles, Gene brings a wealth of experience to the table, ensuring success through solid architectural foundations and effective code implementations.
Highlights
AI continues to evolve and the need for responsible innovation becomes more important. Safe and Secure Innovation for Frontier Artificial Intelligence Models Act (SB 1047) is trying to address some of the challenges but it feels like some of these problems should be addressed by the Federal Government, not by California State alone. And I am not sure that CalCompute Cloud is such a good idea...
https://lnkd.in/exNSgSyp
#AI #Innovation #Ethics #Regulation
The ability of models to be effectively fine-tuned is critical for AI adoption by enterprises. Just found a very fascinating study on fine-tuning these three language models. GPT-4o-mini emerged as the top performer, setting a new benchmark, while Llama-3.1-8B offered the fastest fine-tuning process. This study includes the methodology that they used and highlights practical challenges of optimizing models for specific tasks like vulnerability remediation.
https://lnkd.in/eqYiAmn8
#AI #MachineLearning #NLP #DataScience #Security
