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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Build a Voice-Based Chatbot with OpenAI, Vocode, and ElevenLabs

Learn to create a chatbot using OpenAI, Vocode, and ElevenLabs for natural voice interactions. An example speech-to-text and text-to-speech system.

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Exploring Small Language Models

Learn about efficient Small Language Models (SLMs) as cost-effective, resource-saving alternative to Large Language Models (LLMs) for AI applications.

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