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[Laughter] we are super excited about this one of our dreams with llm Weare is that regardless of the underlying you know source of information the underlying source of unstructured information we should be able to Crunch it normalize it and to be able to access it and make it available for AI you know based workflows regardless of what that underlying Source type and all of it should be done fast and it should be done locally hi everybody Welcome to todayamp;#39;s video todayamp;#39;s video is tutorial just to quickly walk through and get everybody started on a new capability that weamp;#39;ve launched in LL mware which is weamp;#39;ve integrated whisper CPP to enable as an integrated part of LL mware to do fast highquality local Voice to Text processing many of you are familiar with whisper itamp;#39;s a great voice DET text model that open AI created and put in open source whisper CPP is the ggf implementation of that model thatamp;#39;s actually what weamp;#3
