TOON format: a compact alternative to JSON for LLM prompts
Discover how TOON simplifies structured data delivery to large language models by reducing token overhead in prompts while maintaining readability and interoperability.
Discover how TOON simplifies structured data delivery to large language models by reducing token overhead in prompts while maintaining readability and interoperability.
Discover how TopVideoHub replaced million-row event tables with compact HyperLogLog sketches to generate accurate video heatmaps without the storage or query overhead. Learn the ingestion pipeline and SQL optimizations that make it work at scale.

A new family of encoder-decoder models is cutting LLM context windows down to a fraction of their original size, delivering 16x compression while preserving near-peak accuracy and unlocking faster inference speeds in production.