tokenization
Vector Quantization: Turning Continuous Data Into a Vocabulary Lesson
Vector quantization forces a neural network's continuous internal representations to snap to a finite set of learned reference vectors, converting images, audio, or video into sequences of discrete symbols that a language model can predict just like words.
GigaToken Claims a 1,000x Tokenizer Speedup, But the Real Serving Win Is Single-Digit News
A new tokenizer called GigaToken reports roughly 1,000 times the offline throughput of Hugging Face Tokenizers, but its benchmark is not apples-to-apples and its real inference payoff is a single-digit latency improvement.
Tokenization: how an AI chops your words into pieces it can read Lesson
A language model never sees letters or words. It sees tokens, chunks of text turned into numbers. How that chopping works quietly shapes cost, context limits, multilingual fairness, and why models stumble on spelling and arithmetic.
GigaToken Tool
An open-source native BPE tokenizer optimized with SIMD byte scanning and instruction-level parallelism, best used for fast offline corpus preparation and bulk token counting rather than end-to-end serving speedups.