Gen-AI Developer Classroom notes- Foundations – 02/Sep/2025

LLM (Large Language Models)

  • Most of us would have used applications of LLMS such as
    • ChatGPT
    • Gemini
    • Claude
    • Perplexity
  • At its very core LLM is a Neural Network which predicts the next token(Word)
  • Aritificial Intelligence is a field of study to simulate human brain/behavior/actions etc..
  • AI was tried few times historically and it failed this is referred as AI Winter
    Preview
  • Categorize:

    • Narrow AI
    • AGI
  • AI Post 1988 took an interesting turn

    • Machine Learning: The ability of a system to learn based on data provided. It uses statistics, linear algebra, calculus, probability.
    • Machine Learning solves two major problems
      • Predictions:
        • Real estate price estimator
        • Score Predictor
        • Stock Price predictors:
      • Classifications
        • Email Spam/Not Spam
        • Credit Card transaction fraud/normal
  • Neural Networks: Mimics the human brain by creating a simulation of neurons and synapses

Prompting Technique

  • An effective prompt will have
    • a persona
    • context
    • question
    • restrictions (optional)
  • Examples
As an expert in physics, I'm studying in high school, As part of my science class i came across inertia, Can you explain in simple terms so that i understand better.

By continuous learner

enthusiastic technology learner

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