Most people mix up AI, ML, Deep Learning, and LLMs. Here’s the simple breakdown ????
AI is the big umbrella → anything that makes machines act smarter.
Machine Learning (ML) is a subset of AI that learns from data.
Deep Learning (DL) is a subset of ML that uses neural networks.
Large Language Models (LLMs) are a subset of DL—trained on huge text datasets to understand and generate human-like language (think GPT, Claude, LLaMA).
So the chain is: AI ⊃ ML ⊃ Deep Learning ⊃ LLMs
Clear, right? Save this for your next interview or convo about AI.
#ArtificialIntelligence #MachineLearning #DeepLearning
AI is the big umbrella → anything that makes machines act smarter.
Machine Learning (ML) is a subset of AI that learns from data.
Deep Learning (DL) is a subset of ML that uses neural networks.
Large Language Models (LLMs) are a subset of DL—trained on huge text datasets to understand and generate human-like language (think GPT, Claude, LLaMA).
So the chain is: AI ⊃ ML ⊃ Deep Learning ⊃ LLMs
Clear, right? Save this for your next interview or convo about AI.
#ArtificialIntelligence #MachineLearning #DeepLearning
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- Artificial Intelligence & Business


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