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TOON addresses many essential issues inherent in JSON when made use of with LLMs. JSON's verbosity and redundant syntax, characterised by repeated keys and substantial punctuation, produce inefficient tokenization and inflated token counts. For example, in an assortment of objects, keys like "id" and "name" are repeated For each entry, consuming important context window space.
If you have to convert this again to complete JSON later, You may use the --grow-paths Safe and sound flag all through decoding to reconstruct the deep item framework beautifully.
Among the finest items about modern JavaScript tooling is you typically needn't "set up" anything to get rolling. If you just would like to try out TOON out on only one file, You need to use npx to operate the binary immediately:
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Insufficient Schema Enforcement: JSON lacks a developed-in schema, forcing builders to describe sought after knowledge structures and kinds in the prompt by itself. This consumes beneficial context window House and improves the likelihood of LLMs generating non-compliant output.
The CLI means that you can swap delimiters within the fly. When you are handling tabular info, switching into a tab delimiter can make the output appear cleaner and process additional proficiently.
A diferencia de JSON, que fue creado para intercambio de datos entre aplicaciones Net, 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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Regardless if you JSON TO TOON are debugging a prompt, planning a dataset, or simply curious about how much funds you could possibly preserve on tokens, the @toon-format/toon CLI is your new ally.
Combina TOON con técnicas de prompt engineering. En lugar de incluir todos los datos, incluye un resumen en texto y los detalles completos en TOON solo cuando el LLM los necesite.
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Against this, if you click a Microsoft-presented ad that appears on DuckDuckGo, Microsoft Promoting doesn't associate your advertisement-simply click behavior which has a user profile. In addition, it does not keep or share that information in addition to for accounting needs.
Atención al Cliente: Un chatbot empresarial aumentó su contexto de conversación de 20 a 35 intercambios al representar la historia en TOON, mejorando significativamente la coherencia de las respuestas.