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AI Fundamentals






๐Ÿ“Œ Topic 01 of 6 ยท Chapter 06 ยท AI & Robotics

AI Fundamentals โ€” ML, Deep Learning, NLP

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

๐Ÿค– AI โ€” Types

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

๐Ÿค– AI Hierarchy

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

๐Ÿค– Neural Networks

  • Inspired by the human brain โ€” interconnected nodes (neurons)
  • Input layer โ†’ Hidden layers โ†’ Output layer
  • Deep Learning = many hidden layers = “deep” neural network
  • Applications: image recognition, speech recognition, language translation, drug discovery
  • Convolutional Neural Networks (CNNs) โ€” for image processing
  • Recurrent Neural Networks (RNNs) โ€” for sequential data (text, speech)
  • Transformers โ€” architecture behind ChatGPT, BERT, GPT-4
๐Ÿ“Œ Key Exam Points:
โ€ข AI > ML > Deep Learning (hierarchy)
โ€ข Narrow AI = specific tasks = exists today; AGI = human-level = doesn’t exist
โ€ข ChatGPT = OpenAI = Large Language Model (LLM) = NLP = Narrow AI
โ€ข AlphaGo = DeepMind = defeated world Go champion (2016) = Reinforcement Learning
โ€ข Turing Test = Alan Turing (1950) = test for machine intelligence