AI / ML Animations

LLMs, transformers, RAG, agents, and core machine learning concepts.

ML Foundations

12

Activation Functions

Backpropagation

Gradient Descent

Linear Regression

Logistic Regression

One-Hot Encoding

Cross Validation

Feature Scaling

Vanishing Gradient

Models & Algorithms

12

K-Nearest Neighbors

Support Vector Machine

Gradient Boosting

Hierarchical Clustering

Evaluation

4

Confusion Matrix

Precision-Recall Curve

Tokenization & Embeddings

4

Embeddings Vector Space

Architectures

3

Vision Transformer (ViT)

Transformers & Attention

11

Multi Head Attention

Transformer Block

Attention Masking

Cross Attention

Flash Attention

Grouped Query Attention

Positional Encoding

RoPE Positional Encoding

Text Generation

4

GPT Generation Loop

Speculative Decoding

Prompting & Decoding

3

Chain Of Thought

Structured Output

Zero-shot vs One-shot vs Few-shot

RAG & Retrieval

7

Hybrid Retrieval

Chunking Strategies

Vector Search HNSW

Agents

8

Agent Reflection

Tree Of Thought

Training & Fine-tuning

9

Diffusion Denoising

Instruction Tuning

Mixture Of Experts

QLoRA, 4-bit Fine-Tuning

ML Systems

5

Active Learning

Distributed Training

Multistage Ranking

MLOps & Monitoring

5

Model Monitoring

Shadow Deployment

Training-Serving Skew