10 тысяч подписчиков
146 видео
Covariance Explained #statistics #datascience #machinelearning #maths #mathematics
Byte-Pair Encoding (BPE) Tokenizer
Two Towers Architecture
Sliding Window Attention (Longformer) Explained
RCNN Explained
AI Reading List (by Ilya Sutskever) - Part 3
LLM Tokenizers Explained: BPE Encoding, WordPiece and SentencePiece
Hyperparameters Tuning: Grid Search vs Random Search
Word Error Rate (WER) Explained - Measuring the performance of speech recognition systems
Why The Reset Gate is Necessary in GRUs
ROUGE Score Explained
AI Reading List -Item 5
AI Reading List - Item 1
Hyperparameters search - grid search vs random search
AI Reading List - Part 4
Jailbroken: How Does LLM Safety Training Fail? - Paper Explained
RLHF: Training Language Models to Follow Instructions with Human Feedback - Paper Explained
Attention Mechanism Explained
Fast RCNN Explained
Faster RCNN Explained
AdamW Optimizer Explained | L2 Regularization vs Weight Decay
The Bitter Lesson (in AI)...
XGBoost Explained in Under 3 Minutes
How to Fine-tune Large Language Models Like ChatGPT with Low-Rank Adaptation (LoRA)
BART Model Explained
AI Reading List - Part 3
Vector Database Search - Hierarchical Navigable Small Worlds (HNSW) Explained
AI Reading List (by Ilya Sutskever) - Part 2
Joint, Marginal and Conditional Probability Explained
AI Reading List (by Ilya Sutskever) - Part 4
AI Reading List (by Ilya Sutskever) - Part 5
BLEU Score Explained
Singular Value Decomposition (SVD) Explained
Why Convolutional Neural Networks Are Not Permuation Invariant
Why Batch Normalization (batchnorm) Works
Term Frequency Inverse Document Frequency (TF-IDF) Explained
Why We Divide by N-1 in the Sample Variance (The Bessel's Correction)
Overfitting vs Underfitting - Explained
Covariance Explained
Hierarchical Navigable Small Worlds (HNSW) Explained
Why We Don't Use the Mean Squared Error (MSE) Loss in Classification
Cross-Entropy - Explained
Linear Regression vs Maximum Likelihood
Gradient Boosting with Regression Trees Explained
AI Reading List - Part 2
AI Reading List (by Ilya Sutskever) - Part 1
Object Detection Part 2: Fast R-CNN, Region Projection and Region of Interest (RoI) Pooling Layer
Depth Anything 3:Recovering the Visual Space from Any Views - Paper Walkthrough
Connectionist Temporal Classification (CTC) Explained
Sliding Window Attention
