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NVIDIA and Stanford developed a Contrastive Language Model (CLM) that frames decision-making in AI as a retrieval problem, achieving up to 9x lower latency compared to existing systems like Jev by caching action embeddings.
The article introduces the Contrastive Language Model (CLM), which is 9x faster than Jev for System One models, and provides a guide on using Jev in building custom AI harnesses with Pi SDK.