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Download ZeroToMastery – Advanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More) Course for Free

Download the complete ZeroToMastery – Advanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More) video course for free with high-definition MP4 video lectures, project exercise archives, and step-by-step masterclasses. Learn offline at your own pace with zero paywalls or recurring subscriptions.

32Lectures
5.3Total Hours
688.6MB Total Size
MP4 / 1080p HD
Instructor: Patrik Szepesi
English
Beginner to advanced
Tags:#Course Advanced AI: LLMs Explained with Math (Transformers Attention Mechanisms & More)#Download Advanced AI: LLMs Explained with Math (Transformers Attention Mechanisms & More)#Download course Advanced AI: LLMs Explained with Math (Transformers Attention Mechanisms & More)#Free Advanced AI: LLMs Explained with Math (Transformers Attention Mechanisms & More)#Free download Advanced AI: LLMs Explained with Math (Transformers Attention Mechanisms & More)#Patrik Szepesi#free-download#video-course
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All Video Lectures Available to Download32 Videos

Direct high-speed MP4 downloads for every chapter.

Advanced-AI-LLMs-Explained-with-Math-346K

MP4 HD4m8.20 MB
Stream

Introduction-To-Positional-Encodings-228K

MP4 HD4m8.12 MB
Stream

Positional-Encodings-Part-1-382K

MP4 HD5m10.25 MB
Stream

Positional-Encodings-Part-2- Even-and-Odd-Indices -296K

MP4 HD9m20.34 MB
Stream

Why-Use-Sine-and-Cosine-Functions-336K

MP4 HD6m12.55 MB
Stream

Understanding-the-Nature-of-Sine-and-Cosine-Functions-418K

MP4 HD12m26.26 MB
Stream

Visualizing-Positional-Encodings-in-Sine-and-Cosine-Graphs-403K

MP4 HD11m23.94 MB
Stream

Solving-the-Equations-to-Get-the-Values-for-Positional-Encodings-323K

MP4 HD17m37.52 MB
Stream

Introduction-to-Attention-Mechanism-244K

MP4 HD2m5.19 MB
Stream

Query -Key-and-Value-Matrix-235K

MP4 HD12m26.33 MB
Stream

Getting-Started-with-Our-Step-by-Step-Attention-Calculation-248K

MP4 HD7m14.47 MB
Stream

Creating-Our-Optional-Experiment-Notebook-Part-1-440K

MP4 HD4m9.88 MB
Stream

Calculating-Key-Vectors-348K

MP4 HD25m54.66 MB
Stream

Query-Matrix-Introduction-292K

MP4 HD10m21.43 MB
Stream

Calculating-Raw-Attention-Scores-294K

MP4 HD22m48.23 MB
Stream

Understanding-the-Mathematics-Behind-Dot-Products-and-Vector-Alignment-327K

MP4 HD14m29.73 MB
Stream

Visualizing-Raw-Attention-Scores-in-2D-308K

MP4 HD6m13.08 MB
Stream

Converting-Raw-Attention-Scores-to-Probability-Distributions-with-Softmax-379K

MP4 HD11m24.20 MB
Stream

Normalization-304K

MP4 HD4m7.89 MB
Stream

Understanding-the-Value-Matrix-and-Value-Vector-295K

MP4 HD9m19.64 MB
Stream

Calculating-the-Final-Context-Aware-Rich-Representation-for-the-Word- River -428K

MP4 HD16m34.81 MB
Stream

Understanding-the-Output-496K

MP4 HD3m5.93 MB
Stream

Creating-Our-Optional-Experiment-Notebook-Part-2-748K

MP4 HD9m19.10 MB
Stream

Understanding-Multi-Head-Attention-344K

MP4 HD13m27.74 MB
Stream

Multi-Head-Attention-Example-and-Subsequent-Layers-446K

MP4 HD16m35.24 MB
Stream

Masked-Language-Learning-164K

MP4 HD2m3.38 MB
Stream

Encoding-Categorical-Labels-to-Numeric-Values-452K

MP4 HD18m40.31 MB
Stream

Understanding-the-Tokenization-Vocabulary-285K

MP4 HD13m27.59 MB
Stream

Encoding-Tokens-318K

MP4 HD10m21.12 MB
Stream

Practical-Example-of-Tokenization-and-Encoding-393K

MP4 HD14m31.89 MB
Stream

DistilBert-vs.-Bert-Differences-233K

MP4 HD3m7.47 MB
Stream

Embeddings-In-A-Continuous-Vector-Space-239K

MP4 HD6m12.13 MB
Stream
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What You'll Master in this Free Download Course

How to convert text into readable data for your model with tokenization
The inner workings of attention mechanisms in transformers
How to preserve sequence data in AI models with positional encodings
The role of matrices in language encoding and processing
Building dense word representations with multidimensional embeddings
Difference between two-way and masked language models
Practical applications of inner multiplication and vector mathematics in artificial intelligence
How Transformers process, understand, and produce human-like text

About this Free Download Course

Advanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More). This course explores the mathematics behind transformer models, attention mechanisms, and other advanced AI concepts. In this course, you’ll uncover the secrets behind transformers like GPT and BERT. Learn tokenization, attention mechanisms, situational encodings, and embeddings to build and innovate with advanced AI. Master machine learning and become a world-class AI expert. Transformer architecture is a fundamental model in modern AI, especially in natural language processing (NLP). What makes transformers special is that instead of reading word by word like older systems (called recurrent models), transformers examine entire sentences at once.

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How do I download ZeroToMastery – Advanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More) course for free?+

You can download the ZeroToMastery – Advanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More) course for free directly from this page. Simply click the "Download MP4" button next to any lecture to download that video file, or download the complete project zip archives. There are zero paywalls, subscriptions, or registrations required.

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Yes! If this course includes downloadable source code, exercise assets, or templates, they are available in the "Course Exercise Files & Project Archives" section as standard ZIP files for free download.

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Free Download Summary

Price:100% Free
Total Lectures:32 videos
Total Duration:5.3 hours
Video Format:MP4 (1080p HD)
Registration:None (Instant Access)
Offline Playback:Supported
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Instructor

P

Patrik Szepesi

Specialist in AI, Machine Learning & Data Science. Real-world engineering curriculum and hands-on masterclasses.

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