Artificial intelligence, commonly known as AI, is a term that is widely used in tech circles today. It is present in various applications such as Android smartphones, streaming services, and music platforms. The definition of AI has evolved over time, and it is now often used as a broad marketing term to describe anything that exhibits intelligent characteristics.
Machine learning (ML) is a subcategory of AI that involves systems learning from data and experiences to make decisions or take actions. This process includes two main phases: training and inference. The training phase involves feeding the system vast amounts of data for learning, while the inference phase applies the learned knowledge to new data for interaction with end-users.
Artificial General Intelligence (AGI) refers to machines with human-level intelligence that can make decisions, plan, and understand the world in a broader context. Generative AI goes beyond classification and recognition to create new content like text, images, and music. Neural networks, the fundamental building blocks of modern AI, are modeled after the human brain and process data through interconnected neurons.
Transformer networks, a special type of neural network, have enabled the development of large language models (LLMs) like ChatGPT. These models excel at understanding context and relationships within data, making them ideal for language processing tasks. LLMs are trained on vast amounts of text data to generate human-like responses but can sometimes lead to incorrect outputs known as hallucinations.
The effectiveness of AI models is often measured by their total parameters, representing the connections within the neural network. Larger models with more parameters generally perform better but require more resources. Diffusion models, retrieval augmented generation (RAG), and other AI concepts are also shaping the future of artificial intelligence.
Understanding these AI terms and concepts is crucial for navigating the complex and rapidly evolving field of artificial intelligence. Whether you’re a tech enthusiast or a professional in the field, staying informed about AI developments can provide a solid foundation for exploring the future of AI.