Wat je moet weten voordat je
begint

Start 4 June 2026 05:34

Einde 4 June 2026

00 Dagen
00 Uren
00 Minuten
00 Seconden
course image

AI for Beginners: Inside Large Language Models

Discover how Large Language Models work from the ground up through hands-on exercises and beginner-friendly explanations, covering tokens, transformers, and training processes.
via Zero To Mastery

29 Cursussen


3 hours

Optionele upgrade beschikbaar

Beginner

Ga in je eigen tempo vooruit

Paid Course

Optionele upgrade beschikbaar

Overzicht

Understand how LLMs actually work under the hood from scratch with practical and fun lessons. No prior knowledge required!Learn the fundamentals of Large Language Models with engaging, beginner-friendly explanationsGain practical experience and a deeper understanding of both the benefits and shortcomings of LLMs through hands-on exercisesUnderstand the breakthroughs that have enabled the creation of frontier models that power ChatGPTGo beyond the basics to understand how LLMs predict the next word and whether they are truly Artificial Intelligence

Lesprogramma

  •   Introduction
  • Introduction
    Exercise: Meet Your Classmates and Instructor
    Course Resources
  •   How LLMs Work
  • Introduction to LLMs
    Tokens
    Word Guessing Machines?
    Thinking Like LLMs - Roll a Dice
    The Transformer Model
    Inside LLMs
    GPT Meaning
    Exercise: Visualize the LLM Architecture
    The Training Process
    Base Model vs. Assistant Model
    Thinking Like LLMs - The Reversal Curse
    Exercise: The Reversal Curse
    Artificial General Intelligence (AGI)
    Exercise: Use ChatGPT to Read the Research
    The World of LLMs
  •   AI Research and the Quest for Artificial General Intelligence
  • Introduction - Through The Looking Glass...
    Mechanistic Interpretability - Part 1
    Mechanistic Interpretability - Part 2
    Scaling Laws - Model Size
    Scaling Laws - Dataset Size
    Scaling Laws - Training Compute
  •   Where To Go From Here?
  • Let's Keep Learning!
    Review This Byte!

Gegeven door

Scott Kerr


Vakgebieden

Computer Science