Still confused about Data Science, AI, ML, DL, Generative AI, or LLMs?
In this video, we break it all down — step by step — from the broadest concepts to the deepest layers of modern intelligence, in the most intuitive and easy-to-understand way.
Whether you’re a student, data scientist, developer, or just curious about AI, this guide will give you ultimate clarity on how AI works, what differentiates its subfields, and how LLMs like ChatGPT, Gemini, Claude, and Sora fit into the picture.
Concept Map Simplified:
Data Science: Extract insights from structured & unstructured data
Artificial Intelligence (AI): Machines mimicking human intelligence
Machine Learning (ML): AI that learns from data
Deep Learning (DL): Neural networks powering advanced AI
Generative AI: Creative AI producing text, images, audio, and video
LLMs (Large Language Models): Tools like ChatGPT powering conversational AI
Why You Should Watch:
Understand AI vs ML vs DL vs Generative AI with real-world examples
Learn where neural networks fit in modern AI
Clear explanation for interviews, projects, career planning, or self-learning
Covers history, types, and applications of AI in the real world
Who Should Watch:
AI & ML Enthusiasts
Data Scientists & Developers
Students in CS, AI, or Data Science
Tech Founders & Product Managers
Anyone exploring the AI roadmap
Trending Topics & Hashtags Covered:
#ArtificialIntelligenceExplained #MachineLearning #DeepLearning #GenerativeAI #LLMs #AIHierarchy #FutureOfAI #AIvsML #NeuralNetworks #DataScienceVsAI #AIinEducation #AIHistory #AIExplained #Shorts #AI
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