https://www.podomatic.com/podcasts/vzhadanpodcast en-us Podomatic RSS Generator Thu, 28 May 2026 08:32:08 +0000 Copyright 2026 Viktor Zhadan Give it a listen! episodic false no https://vzhadanpodcast.podomatic.com/images/default/V-1400.png https://www.podomatic.com/podcasts/vzhadanpodcast Viktor Zhadan https://www.podomatic.com/podcasts/vzhadanpodcast/episodes/2026-05-28T01_31_59-07_00 https://www.podomatic.com/podcasts/vzhadanpodcast/episodes/2026-05-28T01_31_59-07_00 Thu, 28 May 2026 08:31:59 +0000 2026-05-28 2026-05-28 https://www.podomatic.com/podcasts/vzhadanpodcast/episodes/2026-05-28T01_31_59-07_00 Viktor Zhadan 67 false Generative artificial intelligence has rapidly evolved from an experimental technology into a transformative force across industries. From intelligent chatbots and image generators to code assistants and content automation platforms, generative AI systems are changing how businesses operate and how people interact with technology. Behind every powerful AI solution lies a highly structured and complex development process that combines data science, machine learning, infrastructure engineering, and continuous optimization.Understanding how generative AI models are developed helps organizations make informed decisions about AI adoption and innovation. Whether businesses want to build proprietary systems, customize existing large language models, or integrate AI into digital products, it is essential to understand the core stages of modern generative ai model development.This article provides a detailed step-by-step overview of how generative AI systems are created, trained, tested, and deployed in real-world environments. Generative artificial intelligence has rapidly evolved from an experimental technology into a tra...