Under the Hood
Visual, interactive deep-dives into the mechanics of AI systems — animations, diagrams, and step-by-step breakdowns of how things actually work.
How LLMs Work — Complete Guide
End-to-end interactive visual overview of the entire LLM pipeline in one comprehensive page.
Neural Networks
Perceptrons, activations, backpropagation, and the path from simple neurons to deep architectures.
LLMsBuilding Enterprise AI Agents
Production agent architecture — orchestration patterns, tool use, deployment, and observability.
AgentsTokenization
BPE, SentencePiece, vocabulary tradeoffs, and how text becomes numbers.
LLMsContext Engineering
17 prompt and context engineering techniques for building reliable AI systems.
AgentsTransformers
The transformer architecture, positional encodings, and scaling laws that power modern AI.
LLMsTrip Planner Agent
A practical multi-agent system walkthrough — planning, execution, and coordination patterns.
AgentsEmbeddings
Word2Vec, semantic similarity, RAG pipelines, and vector search fundamentals.
LLMsAttention
Query, Key, Value mechanics — Flash Attention, GQA, MQA, and multi-head patterns.
LLMsTraining Pipeline
Pre-training, RLHF, DPO, distributed training, and the full model development lifecycle.
LLMsInference Pipeline
Prefill/decode phases, KV-cache, speculative decoding, and serving optimization.
LLMsLoss & Gradient Descent
Loss functions, optimization algorithms, backpropagation, and regularization techniques.
LLMsProbability & Sampling
Softmax, temperature, beam search, top-k/top-p, and calibration methods.
LLMsData & Annotation
Data pipelines, RLHF labeling, active learning, and data governance for LLMs.
LLMs