Gisting: Compressing LLM Agent context to ↑ throughput and ↓ cost
Gisting compresses context into a set of learned tokens, preserving its quality while making the model faster and cheaper.
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Gisting compresses context into a set of learned tokens, preserving its quality while making the model faster and cheaper.
We rebuilt our mobile end-to-end testing framework with a strict API and computer vision, raising test stability drastically.