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Forget slow, end-to-end models: building real-time voice agents hinges on a cascaded streaming pipeline, as demonstrated by a new tutorial achieving sub-second latency.
Forget text prompts: vector prompt interfaces are the key to unlocking scalable and stable LLM customization.
Real-time voice agents can bypass slow vector DB lookups with a dual-agent architecture that pre-fetches relevant documents into a sub-millisecond semantic cache.
A unified Vision-Language Model and Diffusion architecture unlocks surprisingly effective optical flow forecasting from noisy web data, enabling language-conditioned robot control and video generation.