Technology

Introduction to Transfer Learning What is Transfer Learning and Why is it Important? Transfer learning is an artificial intelligence technique that involves leveraging knowledge gained by a model while solving one task to accelerate and improve learning in another, often related, task. Instead of training a model from scratch, we use pre-trained models that have […]

Introduction: The Role of AI in Modern Projects Artificial intelligence (AI) has become one of the key elements of digital transformation across many industries. Companies are increasingly using AI to automate processes, analyze large datasets, personalize services, and optimize costs. In practice, implementing AI is not just about building a model, but also about integrating

Introduction: Taking Your First Steps with AI Agents in Python Artificial intelligence is increasingly present in everyday life—from intelligent voice assistants and recommendation systems to autonomous vehicles. One of the key elements of AI are agents, which are programs capable of making decisions independently based on data from their environment. Learning how to create your

Introduction to AI Agents Artificial intelligence (AI) is a field of computer science that enables machines to perform tasks requiring intelligence, such as understanding language, recognizing images, or making decisions. One of the most important concepts in AI is the agent. An AI agent is a program or system that can independently observe its environment,

Introduction to MLOps in Practice MLOps, or Machine Learning Operations, is a set of practices, tools, and processes that enable the effective deployment, management, and scaling of machine learning models in production environments. Modern organizations are increasingly leveraging artificial intelligence to solve key business problems, but building a model is only the beginning. The real

Introduction to Transfer Learning In recent years, transfer learning has become one of the most powerful techniques in the field of machine learning and artificial intelligence. Traditionally, building effective machine learning models required large amounts of labeled data and significant computational resources. However, transfer learning offers a way to leverage knowledge gained from one task

Introduction: The Rise of Large-Scale AI Deployment Artificial intelligence has rapidly evolved from a research-driven field to a core component of modern enterprise solutions. As organizations increasingly recognize the value of AI, the focus has shifted from isolated experiments to deploying AI models at scale in production environments. This transition brings both significant opportunities and