ML/AI

AI broke into our daily lives quite recently. Just a few years ago, the world saw for the first time how ChatGPT works. It became the first AI product for most users around the globe. Not much time has passed, and leading global companies have begun launching their own alternative products. News headlines were filled with announcements of new AI solutions: Google presented Gemini Anthropic — ClaudeMicrosoft — CopilotIn China, DeepSeek appeared In the USA, company X (formerly Twitter) launched its own AI

While the process of building AI models has become increasingly efficient, the real challenge lies in operationalizing them — deploying models into production and ensuring they consistently deliver measurable value. Traditional DevOps methods often fall short in addressing the complex, evolving nature of AI systems. That's why we have to search beyond its horizon - and there we can find the MLOps concepts.

Zagłębmy się w 12 trendów rzeczywistości rozszerzonej, które pojawią się w 2024 roku i zbadajmy każdy z nich.