Tokenizer: How AI Processes Text into Tokens
A tokenizer is a fundamental component of Large Language Models (LLMs) that splits raw input text into smaller pieces called tokens.
A tokenizer is a fundamental component of Large Language Models (LLMs) that splits raw input text into smaller pieces called tokens.
Suno API allows developers to generate high-fidelity music, vocals, and sound effects. Learn how Suno pricing and token billing work.
Seedance 2.0 API is a high-performance model for realistic video generation from text and image prompts. Learn how video generation billing works.
Prompt Caching is an optimization technique that stores frequently used context (like system instructions or documents) in the LLM provider's memory, reducing input cost and time-to-first-token.
ElevenLabs API provides ultra-realistic voice synthesis and voice cloning. Learn how character-based billing and costs work.
A context window defines the maximum number of tokens an LLM can process in a single conversation request, including prompt input and generation output.
No glossary entries found for this tag.