Udemy

LLM Mastery: Hands-on Code, Align and Master LLMs

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  • 4,712 Students
  • Updated 10/2024
4.5
(386 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
16 Hour(s) 30 Minute(s)
Language
English
Taught by
Javier Ideami
Rating
4.5
(386 Ratings)
4 views

Course Overview

LLM Mastery: Hands-on Code, Align and Master LLMs

Code LLMs and alignment from scratch with Python and PyTorch. And explore generative AI and deep learning using Origami

Dive into the most exhilarating and hands-on LLM course you'll ever experience! This isn't just learning—it's an adventure that will transform you from an AI enthusiast into a creator at the bleeding edge of technology. AI expert Javier Ideami, the creator of one of the most successful AI related courses on Udemy, brings you a totally unique new experience around LLM technology.

What Makes This Course Unmissable:

  • Code Your Own AI Universe: 80% hands-on coding with Python and Pytorch. Build an LLM from scratch, line by line. Watch AI come alive through your fingertips. And then go beyond and code a compact version of an alignment process, the magic that makes ChatGPT, GPT 4, Claude and Gemini possible.

  • Origami Meets AI: Be part of a world-first! Unravel deep learning mysteries through the art of paper folding.

  • Visual understanding: Combine the coding with visual exploration by going deep into the core of an LLM, seeing how its attention matrices evolve throughout training.

  • Deep Dive, Gradual Learning Curve: Only basic Python needed. We'll guide you through all the complex concepts around LLMs, from attention mechanisms to cross-entropy and beyond. By the end of the course, you will have gained advanced skills and knowledge about generative AI and LLMs.

  • Mind-Bending Finale: Cap it off with an optional guided meditation using the "generative AI" in your own brain. Mind = Blown!

  • Flexible requirements: Run everything on a humble 4GB GPU or anything more powerful. From Google Colab to your trusty laptop, flexibility is the mantra. On the cloud or local (Windows / Linux / Mac). All platforms and devices will work (with a minimum of 4GB of GPU memory)

Course Highlights:

  • Intro to Generative AI: Dive into the mesmerizing world of Generative AI, where machines create and innovate beyond imagination.

  • Code an LLM from Scratch: Code and nurture your very own LLM from scratch.

  • Unlocking an LLM Titan: Dissect an advanced LLM architecture. Peek behind the curtain of the most powerful AI systems on the planet.

  • Alignment. Code the Secret Sauce of the top LLMs: Code a cutting edge LLM alignment process. This is the crucial stage that makes ChatGPT, GPT 4, Claude and Gemini possible and we code together a cutting edge variation of it.

  • Origami AI: Fold your way to neural network nirvana. Experience a world-first fusion of ancient art and cutting-edge science to grasp deep learning like never before.

  • Advanced Visualizations of the Attention Mechanisms of LLMs: Understand visually how the core of an LLM, its attention matrices, evolves throughout the training process.

  • AI Meets Zen: Cap your journey with an optional mind-bending guided meditation. Explore the ultimate generative AI - the one in your own brain - in a profound finale that bridges technology and spirituality.

All in One / Why You Can't Miss This:

  • The full package: You code both a small LLM as well as a cutting edge alignment technique. You also go deep into the understanding of a complex LLM architecture. In parallel you dive very deeply into all sorts of complex concepts around LLMs and deep learning, both during the coding and also during the unique Origami experience as well as the initial intro to Generative AI.

  • Uniqueness: Origami + AI = A learning experience you won't find anywhere else. Understand key insights about Deep Learning and Neural Networks through the magic of paper folding.

  • Practical Hands-on Mastery: 80% Practical. Learn and Build, Train and Align.

  • Future-Proof Skills: Position yourself at the forefront of the AI revolution.

  • And there's more: Added to all of that, the course connects you with free tools, articles and infographics produced by Ideami that enrich and accelerate your learning even more. Some of then, like the Loss Landscape explorer app, are unique tools in the world, created by Ideami for you.

  • Accessibility: Complex concepts explained so clearly, you'll feel like an AI whisperer.

In summary

This isn't just a course—it's a ticket to the AI creator's club. By the end, you'll have coded an LLM, understood its deepest secrets, coded an alignment technique, dived deep into profound insights about deep learning and gained practical skills that will make you the AI guru in any room.

Ready to code the future, fold profound insights through origami and blow your own mind? Join us on this unparalleled journey to the heart of LLM technology. Enroll now and prepare for the most fun, deep, and transformative tech adventure of your life!

Course Content

  • 7 section(s)
  • 128 lecture(s)
  • Section 1 Introduction to Generative AI
  • Section 2 Coding a small LLM from scratch, understanding all the key concepts involved
  • Section 3 Into the AI Matrix, exploring advanced visualizations of the core of your LLM
  • Section 4 Understanding the code and concepts of an Advanced LLM
  • Section 5 Coding an alignment process from scratch, understanding all the key concepts
  • Section 6 Origami + AI: Learning key insights about neural networks and AI with Origami
  • Section 7 Activating the Generative Model of your own mind

What You’ll Learn

  • Code and train an LLM from scratch, line by line, understanding every concept in detail
  • Understand and analyze in depth an advanced LLM architecture based on the Llama system
  • Code and train an alignment process from scratch, to align an LLM with a preferred form of interaction
  • Understand in great depth key concepts like the Attention Mechanisms, the Cross Entropy Loss, the way neural networks learn and many more
  • Explore in depth insights about deep learning and neural networks through the use of Origami
  • Visual understanding: Dive deep into the core of an LLM and visually explore how its attention matrices evolve throughout the training process.
  • In addition to the coding, every section includes in-depth explanations of key concepts related to these architectures and generative AI

Reviews

  • M
    Michael Hadiwidjaja
    4.5

    Amazing information!!!

  • D
    Donald Benitez
    5.0

    very interesting and useful

  • T
    Tan Kian Moh Terence
    3.0

    More examples will make it easier to understand, instead of keep using generic variable terms. Hand gestures are distracting

  • J
    Jeffrey Lebowski
    2.5

    Metto 2 stelle e mezzo solo perché c'è sicuramente del grande impegno nel presentare il corso in un modo avvincente e stimolante, con un linguaggio vivace e dinamico (anche se un po' troppo forzatamente teatrale). Tuttavia quando inizia la parte tecnica, il docente si lancia nella realizzazione di una architettura LLM, per intero, senza andare per gradi, come copiando un grosso file già pronto e tentando di spiagarne ogni riga di codice (cosa molto difficile con un approccio del genere). Ad esempio, concetti importanti come il dropout vengono spiegati al volo non appena raggiunta la relativa riga di codice. Riesco a seguire il corso (con fatica) solo perché ho seguito altri corsi su Pytorch (nettamente migliori) in passato.

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