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

Introduction-To-Positional-Encodings-228K

Positional-Encodings-Part-1-382K

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

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

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

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

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

Introduction-to-Attention-Mechanism-244K

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

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

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

Calculating-Key-Vectors-348K

Calculating-Raw-Attention-Scores-294K

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

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

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

Normalization-304K

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

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

Understanding-the-Output-496K

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

Understanding-Multi-Head-Attention-344K

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

Masked-Language-Learning-164K

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

Understanding-the-Tokenization-Vocabulary-285K

Encoding-Tokens-318K

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

DistilBert-vs.-Bert-Differences-233K

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