AI Hierarchy

Most people use “AI”, “ML”, and “ChatGPT” interchangeably but they’re not the same.

Here’s how they actually stack up.
Artificial Intelligence (AI) – The broadest field
Machine Learning (ML) – Learning from data
Deep Learning – Multi-layer neural approaches
Neural Networks – Brain-inspired computing models
Transformer Models – Modern attention-based architecture
Large Language Models (LLMs) – Text-focused AI systems
ChatGPT – Specific conversational AI implementation

Each layer builds upon the previous — moving from general intelligence to specialized, human-like communication. From the early vision of machines that could “think”, we’ve reached a point where they can converse, reason, and assist. thanks to advances in transformer-based large language models.

The journey from AI → GPT’s of the world is not just technological — it’s transformational. 🚀

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