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Evolving the harness of LLM agents can yield a 17-point performance boost without compromising their ability to generalize across tasks.
Whisper's speech-centric training leaves audio-LLMs tone-deaf to music and environmental sounds, but a simple fine-tune can fix that.
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.