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Programmatic tool calling outperforms traditional JSON tool calling in 11 out of 14 language models, showcasing a significant leap in efficiency and robustness.
Squeeze your LLM inference costs: PolyKV slashes KV cache memory by up to 97% using a shared, compressed pool, with negligible impact on quality.
