GenAI Simulators

Interactive playgrounds to understand how Generative AI really works under the hood. Experiment with architecture, tokenization, embeddings, and more.

LLM Architecture

Simulate internal mechanisms: Self-attention, Multi-head attention, Positional encoding, and Transformer layers.

Tokenization

Pro

Compare BPE vs WordPiece, analyze cost impact, and optimize prompts for token efficiency.

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Embeddings

Pro

Visualize vector space, semantic similarity, clustering, and drift over time.

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RAG Visualizer

Interactive RAG visualization tool. Test chunking, retrieval, and generation in real-time.

Fine-Tuning

Pro

Simulate PEFT, LoRA/QLoRA tuning, analyze overfitting risks, and compare vs Prompt Engineering.

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Prompt Engineering

Pro

Experiment with Zero/Few-shot, Chain-of-Thought, and observe semantic changes.

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Agents & Tools

Pro

Simulate multi-agent workflows, tool calling failures, and Planner/Executor patterns.

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Memory & Context

Pro

Test context window limits, summarization strategies, and user vs global memory.

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LLM Evaluation

Pro

Run LLM-as-a-Judge, measure factuality, toxicity, and track quality drift.

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Costs & Performance

Pro

Estimate costs per request, compare model latency, and simulate caching benefits.

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Security & Governance

Pro

Test prompt injection, data leakage scenarios, and validate guardrails.

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Multimodal

Pro

Experiment with Text-to-Image, Audio transcription flows, and OCR+RAG.

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Visual Study Assistant

Blueprint a cognitive, multimodal learning agent that orchestrates attention.

MCP Protocol

Simulate Model Context Protocol: server discovery, tool calling, resource access, and prompt templates.