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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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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A Comparison of Open Source LLM Frameworks for Pipelining

Optimize your LLM projects with the best open source LLM frameworks, Python libraries, and orchestration tools.

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