A MarkTechPost write-up highlights KAME, a tandem speech-to-speech setup that claims to inject LLM knowledge into live conversation without added latency. The underlying technical substance is unclear from the summary, so it reads more like a secondary news item than a research deep dive.
Sakana AI Introduces KAME: A Tandem Architecture That Injects Real-Time LLM Knowledge Into Speech-to-Speech Conversational AI Without Adding Latency The post Sakana AI Introduces KAME: A Tandem Speech-to-Speech Architecture That Injects LLM Knowledge in Real Time appeared first on MarkTechPost.