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Openai/691a41cd-2efc-800c-9eff-de439224a90d
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===== Take your screenshot example: ===== * JSON: lots of quotes, braces, repeated keys * TOON: slimmer, but still carrying explicit field names and structure Now imagine: * Repeating that structure in millions of prompts * Or packing huge configs / logs / memories into an LLM’s context window With LoreTokens: * The schema (“users table with id / name / role”) can live as an internal concept or a separate definition. * A single short LoreToken can mean: > Instead of pasting a giant block of JSON/TOON every time, you send something closer to: <syntaxhighlight lang="text">LT:users.v3.filter:admins.summarize:short </syntaxhighlight> (Stylistic example, not real syntax.) That’s dozens to hundreds of tokens saved per request, multiplied by: * Every agent * Every call * Every second This is where power savings and throughput gains become very real.
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