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The article focuses on a specific technical architecture where the Control Channel (C2C) protocol enables direct communication between different large language models, bypassing traditional text-based intermediate representations. This advancement is significant for optimizing inference latency and improving interoperability within heterogeneous AI model ecosystems, which are core concerns for machine learning practitioners.
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Sursă care acoperăVentureBeat
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Text handoffs slow AI models down. C2C lets them communicate through KV caches instead
VentureBeat1 min de cititArticolul și perspectiva sunt în engleză.
Text handoffs slow AI models down. C2C lets them communicate through KV caches instead venturebeat.com
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