AI Infographics Gallery

Visual breakdown of how AI "reads" text: from raw input through BPE/SentencePiece tokenization to vocabulary lookup and final token IDs. Shows the complete pipeline that transforms human language into numerical sequences for neural network processing.

End-to-end visualization of prompt processing: from text input through tokenization, embedding, transformer attention layers, to final token prediction. Maps the complete path from human query to AI response at the computational level.

Complete architecture of frontier AI models like Gemini 3 Pro. Shows Sparse Mixture of Experts (MoE) with gating network, tool delegation agents, multi-tier memory systems (cache, knowledge graph, SQL), and distributed TPU infrastructure.

Cloud-local hybrid agent architecture showing the Cognitive Orchestration Engine as "The Architect" and local CLI as "The Builder". Illustrates the ReAct loop: plan (cloud) → execute (local) → observe → refine.

Visualization of hybrid search combining structured databases (left brain: sparse retrieval for exact facts) with vector databases (right brain: dense retrieval for semantic concepts). Shows fusion algorithm producing optimized answers.

Three-stage visual AI pipeline: (1) Analyzing with visual encoder (pixels → patches → vectors), (2) Generating with diffusion decoder (noise → denoising → output), (3) Iterating with generative and deterministic edits.

Simplified architecture diagram showing the core MoE structure with Creative, Logic, Code, and Knowledge experts, plus tool delegation to Code Interpreter, Search API, and RAG retrievers.

Technical diagram of the hybrid agent workflow: Intent → Plan (Cloud) → Execute (Local) → Observe → Refine. Shows MoE Router, structured commands via API, and local filesystem execution.