Understanding-Multi-Head-Attention-344K
Course Content
0 / 32 completedAdvanced-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
Query-Matrix-Introduction-292K
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