Table of Shorts

Short #1 | Feature Scaling in Linear Regression

Short #2 | Case Study | How LinkedIn used NLP to design Help Search System

Short #3 | Flattening 2D lists VS 2D Tensors

Short #4 | RNN - Matrix dimensions and Parameters

Short #5 | Tensor Broadcasting

Short #6 | How does Linear layer act on multi-dimensional tensor ?

Short #7 | What is Gradient Accumulation ?

Short #8 | Approximate Nearest Neighbors (1/2)

Short #9 | Gradient Checkpointing

Short #10 | random.seed() and Hitchiker's Guide to Galaxy

Short #11 | Softmax Temperature

Short #12 | MIPS vs MCSS (Maximum Inner Product / Cosine Similarity Search)

Short #13 | A fun history about Git

Short #14 | How does Langchain Expression Language (LCEL) work ?