Reorganiza tus objetos para maximizar el uso de tablas TOON. Si tienes un objeto con múltiples arrays, considera separar cada array en su propia tabla TOON.
TOON addresses quite a few important troubles inherent in JSON when employed with LLMs. JSON's verbosity and redundant syntax, characterized by recurring keys and comprehensive punctuation, result in inefficient tokenization and inflated token counts. For example, within an variety of objects, keys like "id" and "name" are recurring for every entry, consuming valuable context window Place.
Sure, LLMs can comprehend TOON structure the same as common JSON. The structure maintains precisely the same construction and info, just in a more compact illustration. You are able to contain a important mapping At first if utilizing brief keys.
Probably the greatest factors about contemporary JavaScript tooling is you usually needn't "install" just about anything to begin. If you merely would like to consider TOON out on an individual file, you can use npx to operate the binary right:
Mayor Capacidad de Contexto: Con el mismo límite de tokens, puedes incluir más información en tus prompts. Esto es critical para aplicaciones que necesitan procesar documentos extensos o mantener conversaciones largas.
Cuando pides a un LLM que extraiga información y la devuelva en formato estructurado, TOON es perfect porque su sintaxis explícita ayuda al modelo a generar salidas correctamente formateadas desde el primer intento.
Optimizing info formats is often about guessing video games. TOON "If I clear away whitespace, just how much do I preserve?" "Imagine if I swap to YAML?"
A diferencia de JSON, que fue creado para intercambio de datos entre aplicaciones web, TOON está optimizado para reducir el consumo de tokens, lo que se traduce en ahorros significativos tanto en costes de API como en capacidad de contexto.
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Los agentes de IA que toman decisiones basadas en múltiples TOON formater fuentes de datos se benefician enormemente de TOON, ya que pueden procesar más información en su contexto de trabajo.
TOON representa una evolución organic: un formato que reconoce que los LLMs son ahora consumidores primarios de datos estructurados, no solo intermediarios.
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The actual electric power in the TOON CLI will come once you chain it with other instruments like curl and jq. You'll be able to fetch details from an API, filter it right down to the Necessities, and convert it to TOON in just one line—wanting to be pasted into a prompt or sent to an inference endpoint.