Training a Text2Sparql Model with MK-SQuIT and NeMo > Originally posted on the NVIDIA Developer blog at: https://developer.nvidia.com/blog/training-a-text2sparql-model-with-mk-squit-and-nemo/?ncid=so-twit-98177#cid=dl13_so-twit_en-us Across several verticals, question answering (QA) is one of the fastest ways to deliver business value using conversational AI. Stated somewhat informally, question answering
Out Of App -1 Screen NEW Indonesia Out of App - http://m.meetkai.com/misc/indonesia_out_of_app.pdf As part of building the MeetKai Virtual Assistant, we developed a large suite of technology that we are looking to apply with different touch points. Our first “out
AI On-Device Speech Recognition (Coming Soon) I am very excited to announce that we are going to be releasing on-device automatic speech recognition (ASR) capabilities this summer. This is still being tested internally, but I wanted to provide some context for the goals of this initiative and what to expect.
AI Personalized Ranking: Kai Score (Part 1) One of the fundamental building blocks of a voice assistant, much like a search engine, is the concept of ranking – given a set of equally true results, how do you determine the order? An example of this equally true set would be seen if
AI Catastrophic Failure: The Out Of Domain problem (Part 1) About a year ago, when we were very much in stealth, we did a small user study of an early build of our app. Our goal was to test our capabilities in finding movies, which meant that the build only had movies. Segue to
