Ukrainian AI Glossary Explains 12 Key Terms for Developers and Investors
Updated
Updated · Букви · Jul 3
Ukrainian AI Glossary Explains 12 Key Terms for Developers and Investors
1 articles · Updated · Букви · Jul 3
Summary
A new Ukrainian-language AI glossary has been published as a compact reference for developers, investors and readers navigating fast-spreading terms such as LLM, RAG and RLHF.
The guide aims to reduce confusion created by AI’s rapid evolution, with entries defining concepts including AGI, AI agents, API endpoints, compute, deep learning, neural networks, tokens and training.
Large language models are described as neural networks with billions of parameters, while token-based pricing, reinforcement learning with human feedback and open-source versus closed systems are highlighted as practical concepts users regularly encounter.
The glossary will be updated regularly, positioning it as an ongoing reference as AI terminology, products and infrastructure continue to change quickly.