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VOOZH | about |
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VOOZH | about |
By Andrew Dugan
Senior AI Technical Content Creator II
Large language models (LLMs) are able to understand instructions in a wide range of formats from plain text to JSON, CSV, Markdown, YAML, XML, and many others. There has been a lot of experimentation with input formats to try to find the best way to increase accuracy while minimizing tokens.
JSON (JavaScript Object Notation) formatted prompts have become a popular option both for simple instruction prompts and for adding portions of datasets into the prompt context, but a new format called TOON (Token Oriented Object Notation) has been increasing in popularity for its ability to contain similar context as JSON while using fewer tokens.
This tutorial describes the differences between JSON and TOON formatted prompts and provides some examples to help you determine if TOON formatted prompts are right for your use-case.
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Andrew is an NLP Scientist with 8 years of experience designing and deploying enterprise AI applications and language processing systems.
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