Natalia Kuzminykh

Natalia Kuzminykh is a language engineer specializing in NLP and Generative AI development. Her primary goal is to improve communication between humans and machines, focusing on creating strong AI systems for various industries. Natalia has completed both the AI Professional Program at Stanford School of Engineering and an MSc degree in Cognitive Science from the University of Siena combining academic knowledge with practical expertise.

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Scaling GenAI to Production: Strategies for Enterprise-Grade AI Deployment

Transition your GenAI prototypes to enterprise-grade production with scalable strategies, robust monitoring, cost management, and secure governance best practices.

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Best LLMOps Tools: Comparison of Open-Source LLM Production Frameworks

Explore LLM agent and orchestration frameworks, LLMOps tools, and platforms for deploying language models effectively.

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