Advanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More)
4h 55m 29s
English
Paid
Dive into the mathematical foundations of transformers, such as GPT and BERT. From tokenization to attention mechanisms - analyze the algorithms that underpin modern AI systems. Enhance your skills to innovate and become a leader in the field of machine learning.
Watch Online Advanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More)
Join premium to watch
Go to premium
| # | Title | Duration |
|---|---|---|
| 1 | Advanced AI: LLMs Explained with Math | 03:01 |
| 2 | Creating Our Optional Experiment Notebook - Part 1 | 03:22 |
| 3 | Creating Our Optional Experiment Notebook - Part 2 | 04:02 |
| 4 | Encoding Categorical Labels to Numeric Values | 13:25 |
| 5 | Understanding the Tokenization Vocabulary | 15:06 |
| 6 | Encoding Tokens | 10:57 |
| 7 | Practical Example of Tokenization and Encoding | 12:49 |
| 8 | DistilBert vs. Bert Differences | 04:47 |
| 9 | Embeddings In A Continuous Vector Space | 07:41 |
| 10 | Introduction To Positional Encodings | 05:14 |
| 11 | Positional Encodings - Part 1 | 04:15 |
| 12 | Positional Encodings - Part 2 (Even and Odd Indices) | 10:11 |
| 13 | Why Use Sine and Cosine Functions | 05:09 |
| 14 | Understanding the Nature of Sine and Cosine Functions | 09:53 |
| 15 | Visualizing Positional Encodings in Sine and Cosine Graphs | 09:25 |
| 16 | Solving the Equations to Get the Values for Positional Encodings | 18:08 |
| 17 | Introduction to Attention Mechanism | 03:03 |
| 18 | Query, Key and Value Matrix | 18:11 |
| 19 | Getting Started with Our Step by Step Attention Calculation | 06:54 |
| 20 | Calculating Key Vectors | 20:06 |
| 21 | Query Matrix Introduction | 10:21 |
| 22 | Calculating Raw Attention Scores | 21:25 |
| 23 | Understanding the Mathematics Behind Dot Products and Vector Alignment | 13:33 |
| 24 | Visualizing Raw Attention Scores in 2D | 05:43 |
| 25 | Converting Raw Attention Scores to Probability Distributions with Softmax | 09:17 |
| 26 | Normalization | 03:20 |
| 27 | Understanding the Value Matrix and Value Vector | 09:08 |
| 28 | Calculating the Final Context Aware Rich Representation for the Word "River" | 10:46 |
| 29 | Understanding the Output | 01:59 |
| 30 | Understanding Multi Head Attention | 11:56 |
| 31 | Multi Head Attention Example and Subsequent Layers | 09:52 |
| 32 | Masked Language Learning | 02:30 |
Similar courses to Advanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More)
The NotebookLM Guide: Your AI-Powered Productivity Assistantzerotomastery.io
Category: Other (AI)
Duration 2 hours 3 minutes 22 seconds
Course
The Complete AI Fast Track Bootcamp - 2024Code4Startup (coderealprojects)
Category: Other (AI)
Duration 10 hours 59 minutes 1 second
Course
Build AI Agents with CrewAIzerotomastery.io
Category: Other (AI)
Duration 2 hours 51 minutes 42 seconds
Course
Perplexity AI for Professionalszerotomastery.io
Category: Other (AI)
Duration 56 minutes 25 seconds
Course
Build a Simple Neural Network & Learn Backpropagationzerotomastery.io
Category: Other (AI), Machine learning
Duration 4 hours 34 minutes 9 seconds
Course
Build Your SaaS AI Web Platform From Zero to ProductionCode4Startup (coderealprojects)
Category: Next.js, Other (AI)
Duration 8 hours 36 minutes 2 seconds
Course
Learn how to use MCP (Model Context Protocol)Kevin Kern (instructa.ai)
Category: Other (AI)
Duration 3 hours 10 minutes 2 seconds
Course
AI Design with Ideogramdesigncode.io
Category: Other (AI)
Duration 1 hour 3 minutes 49 seconds
Course
Create your Dream Apps with Cursor and Claude AIdesigncode.io
Category: React.js, Other (AI)
Duration 5 hours 46 minutes 6 seconds
Course
Design and Code User Interfaces with Galileo and Claude AIdesigncode.io
Category: Other (AI)
Duration 3 hours 42 minutes 41 seconds
Course