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AI Fundamentals






πŸ“Œ Topic 01 of 6 Β· Chapter 06 Β· AI & Robotics

AI Fundamentals β€” ML, Deep Learning, NLP

Narrow AI, ML, deep learning, neural networks, NLP, computer vision β€” complete notes for UPSC & PSC exams.

πŸ€– AI β€” Types

TypeDescriptionExampleStatus
Narrow AI (ANI)Designed for specific tasks; cannot generaliseChatGPT, AlphaGo, Siri, facial recognitionExists today
General AI (AGI)Human-level intelligence across all domainsβ€”Does not exist yet
Superintelligence (ASI)Surpasses human intelligence in all areasβ€”Hypothetical; future concern

πŸ€– AI Hierarchy

  • Artificial Intelligence (AI) β€” broad field; machines performing human-intelligence tasks
  • Machine Learning (ML) β€” subset of AI; systems learn from data without explicit programming
  • Deep Learning β€” subset of ML; uses multi-layered artificial neural networks
  • Natural Language Processing (NLP) β€” AI understanding human language; ChatGPT, Google Translate
  • Computer Vision β€” AI interpreting visual information; facial recognition, medical imaging
  • Reinforcement Learning β€” AI learns by trial and error; reward-based; AlphaGo, autonomous vehicles

πŸ€– Neural Networks

  • Inspired by the human brain β€” interconnected nodes (neurons)
  • Input layer β†’ Hidden layers β†’ Output layer
  • Deep Learning = many hidden layers = “deep” neural network
  • Applications: image recognition, speech recognition, language translation, drug discovery
  • Convolutional Neural Networks (CNNs) β€” for image processing
  • Recurrent Neural Networks (RNNs) β€” for sequential data (text, speech)
  • Transformers β€” architecture behind ChatGPT, BERT, GPT-4
πŸ“Œ Key Exam Points:
β€’ AI > ML > Deep Learning (hierarchy)
β€’ Narrow AI = specific tasks = exists today; AGI = human-level = doesn’t exist
β€’ ChatGPT = OpenAI = Large Language Model (LLM) = NLP = Narrow AI
β€’ AlphaGo = DeepMind = defeated world Go champion (2016) = Reinforcement Learning
β€’ Turing Test = Alan Turing (1950) = test for machine intelligence