Amazon AI Project Burned $1.8M in Tokens Before Costs Were Detected
An unsuccessful Amazon AI project reportedly spent $1.8 million on model tokens and ran 860% over budget before the problem was found five months later.
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An unsuccessful Amazon AI project reportedly spent $1.8 million on model tokens and ran 860% over budget before the problem was found five months later.
Tokenization splits text or other input into units that an AI model converts into identifiers and processes.
A context window is the amount of text and other tokenized information an AI model can consider during a single interaction.