Token

A unit of text, such as a word or character, that a model processes to generate responses.

What is a Token?

Tokens are the basic units that AI models use to process and generate text. In AI automation, understanding tokens is crucial for managing model inputs and outputs effectively.

Token awareness helps in designing efficient workflows that stay within model limits while accomplishing their tasks effectively.

Why are Tokens important?

Token understanding is essential for efficient resource use and cost management. For businesses using Lleverage, proper token management ensures their automated processes run efficiently and stay within model limitations. This knowledge helps in designing cost-effective and reliable automation solutions.

How you can use
Token
with Lleverage

A documentation team uses Lleverage to automate content summarization. They carefully structure their workflows to handle large documents by breaking them into appropriate token-sized chunks, ensuring effective processing while staying within model limits.

Token
FAQs

Everything you want to know about

Token

.

What happens if I exceed token limits?

Exceeding limits can result in truncated outputs or failed requests, so it's important to manage token usage effectively.

More references for
Token

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