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.
LLM Friendly: The structure is built to be quickly parsed by AI types even though reducing the token depend, conserving fees and context window Area.
If you have to convert this back to total JSON later, You need to use the --develop-paths Safe and sound flag through decoding to reconstruct the deep item composition correctly.
Other search engines like yahoo associate your advert-click on behavior with a profile on you, that may be utilised later to focus on advertisements to you on that online search engine or about the online world.
With this workflow, you fetch the info, extract only the Energetic buyers, convert it to some pipe-delimited TOON format, and acquire a stats report on how many tokens you simply saved.
Pero por ahora, TOON es la mejor herramienta disponible para optimizar datos estructurados en aplicaciones de IA.
Optimizing facts formats is commonly about guessing game titles. "If I clear away whitespace, the amount of do I conserve?" "Imagine if I switch to YAML?"
Token Performance: Arrays of objects are converted into a tabular structure with only one header row, doing away with repetitive keys.
The @toon-format/cli is much more than just a file converter; This is a TOON convert utility belt for your LLM period. By relocating info processing to the command line, you may iterate faster, visualize optimizations quickly, and combine token-efficient formats into your existing engineering workflows.
In our JSON to TOON converter, arrays of uniform objects are remodeled into a compact tabular format. The size from the array is specified (e.
JSON to TOON Converter is actually a customer-side application. This means many of the logic for converting information operates directly with your Personal computer, inside your web browser. We don't have a server that procedures your information.
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TOON JSON TO TOON format takes advantage of short key abbreviations, gets rid of unwanted whitespace, and optimizes the JSON framework to reduce token count while preserving all knowledge. This could certainly minimize token usage by 30-sixty% in contrast to straightforward JSON.