# Advanced Tokenizer System for LiMp ## ๐Ÿง  Overview Sophisticated multi-modal tokenization system with semantic awareness, mathematical processing, and fractal-based tokenization. ## ๐Ÿš€ Key Features - **Multi-Modal Tokenization**: Traditional, semantic, mathematical, and fractal - **High Capacity Processing**: Handles unlimited character counts - **Intelligent Chunking**: Semantic-aware with context preservation - **Batch Processing**: High-performance parallel processing - **Training Data Generation**: Creates high-quality training datasets - **Mathematical AI**: Advanced mathematical expression processing ## ๐Ÿ›  Quick Start ```python from advanced_tokenizer_system import AdvancedTokenizer, TokenizerConfig config = TokenizerConfig() tokenizer = AdvancedTokenizer(config) import asyncio result = await tokenizer.tokenize("Hello world! x^2 + y^2 = z^2") print(f"Tokens: {result.total_tokens}") ``` ## ๐Ÿ“ Files - `advanced_tokenizer_system.py` - Main tokenizer - `batch_processing_system.py` - Batch processing - `high_capacity_input_processor.py` - Large text processing - `intelligent_chunking_processor.py` - Smart chunking - `advanced_training_data_generator.py` - Training data - `matrix_training_data.jsonl` - Sample data ## ๐Ÿงช Test ```bash python3 working_test.py ``` Ready for advanced AI tokenization! ๐Ÿš€