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Devity
  • Blogs
  • Devity engineering
    • Devity : a server driven Ui/Ux solution
  • AI learning blog series
    • Article 1 — What is AI and why it matters in 2025
    • Article 2 — Understanding machine learning: how machines learn from data
    • Article 3 — Neural Networks explained simply
    • Article 4 — Transformers and the rise of modern AI
    • Article 5 — How AI models learn: from embeddings to output
    • Article 6 — Multimodal AI: teaching machines to see, hear, and imagine
    • Article 7 — AI optimization techniques
    • Article 8 — The future of AI
    • A quick guide to the history and basics of AI
  • Technology
    • UnifiedPush: A decentralized, privacy-first alternative to push notificatio
    • Integrating firebase authentication with matrix server
    • Setting up a matrix server from scratch
    • Guide to build Matrix based chat application with Flutter
    • Understanding NAT traversal in simple terms
    • Immutable double-entry accounting
    • Multiple asynchronous operations in Dart
    • Efficient data caching strategies in Flutter: A comprehensive guide
    • Creating authentication server with multiple providers
    • Event driven architecture: The backbone of modern software
    • Basics of web socket
    • What is Idempotency?
    • How to access localhost from an Android emulator
    • How video players work – Step-by-Step breakdown
    • Idempotency and related concepts
    • Google one tap login: Web vs Flutter deep dive
  • Product
    • Quick guide to IP & Trademarking for Tech (India + Global)
    • Understanding the product life cycle
  • Book summary
    • Atomic habits
    • The hard thing about hard things
    • Zero to one
    • The art of thinking in systems
    • How to talk to anyone
    • The 10X Rule
    • The four agreements
    • The almanack of Naval Ravikant
    • Essentialism
    • Deep work
    • The power of now
    • Sell or Be Sold
Devity
  • Blogs
  • Devity engineering
    • Devity : a server driven Ui/Ux solution
  • AI learning blog series
    • Article 1 — What is AI and why it matters in 2025
    • Article 2 — Understanding machine learning: how machines learn from data
    • Article 3 — Neural Networks explained simply
    • Article 4 — Transformers and the rise of modern AI
    • Article 5 — How AI models learn: from embeddings to output
    • Article 6 — Multimodal AI: teaching machines to see, hear, and imagine
    • Article 7 — AI optimization techniques
    • Article 8 — The future of AI
    • A quick guide to the history and basics of AI
  • Technology
    • UnifiedPush: A decentralized, privacy-first alternative to push notificatio
    • Integrating firebase authentication with matrix server
    • Setting up a matrix server from scratch
    • Guide to build Matrix based chat application with Flutter
    • Understanding NAT traversal in simple terms
    • Immutable double-entry accounting
    • Multiple asynchronous operations in Dart
    • Efficient data caching strategies in Flutter: A comprehensive guide
    • Creating authentication server with multiple providers
    • Event driven architecture: The backbone of modern software
    • Basics of web socket
    • What is Idempotency?
    • How to access localhost from an Android emulator
    • How video players work – Step-by-Step breakdown
    • Idempotency and related concepts
    • Google one tap login: Web vs Flutter deep dive
  • Product
    • Quick guide to IP & Trademarking for Tech (India + Global)
    • Understanding the product life cycle
  • Book summary
    • Atomic habits
    • The hard thing about hard things
    • Zero to one
    • The art of thinking in systems
    • How to talk to anyone
    • The 10X Rule
    • The four agreements
    • The almanack of Naval Ravikant
    • Essentialism
    • Deep work
    • The power of now
    • Sell or Be Sold
  • More
    • Blogs
    • Devity engineering
      • Devity : a server driven Ui/Ux solution
    • AI learning blog series
      • Article 1 — What is AI and why it matters in 2025
      • Article 2 — Understanding machine learning: how machines learn from data
      • Article 3 — Neural Networks explained simply
      • Article 4 — Transformers and the rise of modern AI
      • Article 5 — How AI models learn: from embeddings to output
      • Article 6 — Multimodal AI: teaching machines to see, hear, and imagine
      • Article 7 — AI optimization techniques
      • Article 8 — The future of AI
      • A quick guide to the history and basics of AI
    • Technology
      • UnifiedPush: A decentralized, privacy-first alternative to push notificatio
      • Integrating firebase authentication with matrix server
      • Setting up a matrix server from scratch
      • Guide to build Matrix based chat application with Flutter
      • Understanding NAT traversal in simple terms
      • Immutable double-entry accounting
      • Multiple asynchronous operations in Dart
      • Efficient data caching strategies in Flutter: A comprehensive guide
      • Creating authentication server with multiple providers
      • Event driven architecture: The backbone of modern software
      • Basics of web socket
      • What is Idempotency?
      • How to access localhost from an Android emulator
      • How video players work – Step-by-Step breakdown
      • Idempotency and related concepts
      • Google one tap login: Web vs Flutter deep dive
    • Product
      • Quick guide to IP & Trademarking for Tech (India + Global)
      • Understanding the product life cycle
    • Book summary
      • Atomic habits
      • The hard thing about hard things
      • Zero to one
      • The art of thinking in systems
      • How to talk to anyone
      • The 10X Rule
      • The four agreements
      • The almanack of Naval Ravikant
      • Essentialism
      • Deep work
      • The power of now
      • Sell or Be Sold

AI learning blog series

  1. Article 1 — What is AI and why it matters in 2025

  2. Article 2 — Understanding machine learning: how machines learn from data 

  3. Article 3 — Neural Networks explained simply 

  4. Article 4 — Transformers and the rise of modern AI 

  5. Article 5 — How AI models learn: from embeddings to output 

  6. Article 6 — Multimodal AI: teaching machines to see, hear, and imagine 

  7. Article 7 — AI optimization techniques 

  8. Article 8 — The future of AI 

  9. A quick guide to the history and basics of AI 

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