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Project P1
Tokenizer Visualizer Studio
Concept: Byte Pair Encoding & Character Offsets
Problem Statement
Users do not understand why short sentences can consume massive token counts, leading to unexpected API bills and context overflow.
What Concept It Teaches
It teaches subword tokenization splits, Byte Pair Encoding algorithms, and character offset mapping mechanics.
Why This Matters
Tokenization is the gateway to any transformer block. Inefficient tokenization causes cost inflation and degrades model performance.
System Architecture
Client-side pipeline taking raw string inputs, processing them through a BPE tokenizer, and displaying visual highlights of character offsets.
User Input StringBPE Tokenizer EngineToken HighlightsToken ID Array
Execution Data Flow
- 1. User enters string in workspace.
- 2. Tokenizer maps chars to subword bytes.
- 3. Tokenizer returns vocabulary IDs and boundaries.
- 4. UI colors individual tokens dynamically.
Tech Stack
TypeScriptReactCSS Variables
Implementation Plan
- 1.1. Build a local BPE mapping mock dataset.
- 2.2. Create custom regex boundaries splits.
- 3.3. Style token highlights using HSL colors.
Technical Interview Defense
Defense Concept:
Why does a tokenizer vocabulary size mismatch cause out-of-vocabulary errors?
Verification Audit
Repository Checked: Yes
Repository Exists: Yes
Live Demo Verified: Yes
Demo Exists: Yes