From classical ML to GenAI

Classical AI, also known as symbolic AI or rule-based AI, emerged as one of the earliest schools of thought in the field. It is rooted in the concept of explicitly encoding knowledge and using logical rules to manipulate symbols and derive intelligent behavior. Classical AI systems are designed to follow predefined rules and algorithms, enabling them to solve well-defined problems with precision and determinism. We delve into the underlying principles of classical AI, exploring its reliance on rule-based systems, expert systems, and logical reasoning.

In contrast, GenAI represents a paradigm shift in AI development, capitalizing on the power of ML and NNs to create intelligent systems that can generate new content, recognize patterns, and make informed decisions. Rather than relying on explicit rules and handcrafted knowledge, GenAI leverages data-driven approaches to learn from vast amounts of information and infer patterns and relationships. We examine...