Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting machine learning language models using search engine results. One of the methods includes obtaining question data representing a question; generating, from the question data, a search engine query for a search engine; obtaining a plurality of documents identified by the search engine in response to processing the search engine query; generating, from the plurality of documents, a plurality of conditioning inputs each representing at least a portion of one or more of the obtained documents; for each of a plurality of the generated conditioning inputs, processing a network input generated from (i) the question data and (ii) the conditioning input using a neural network to generate a network output representing a candidate answer to the question; and generating, from the network outputs representing respective candidate answers, answer data representing a final answer to the question.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting machine learning language models using search engine results. One of the methods includes obtaining question data representing a question; generating, from the question data, a search engine query for a search engine; obtaining a plurality of documents identified by the search engine in response to processing the search engine query; generating, from the plurality of documents, a plurality of conditioning inputs each representing at least a portion of one or more of the obtained documents; for each of a plurality of the generated conditioning inputs, processing a network input generated from (i) the question data and (ii) the conditioning input using a neural network to generate a network output representing a candidate answer to the question; and generating, from the network outputs representing respective candidate answers, answer data representing a final answer to the question.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting machine learning language models using search engine results. One of the methods includes obtaining question data representing a question; generating, from the question data, a search engine query for a search engine; obtaining a plurality of documents identified by the search engine in response to processing the search engine query; generating, from the plurality of documents, a plurality of conditioning inputs each representing at least a portion of one or more of the obtained documents; for each of a plurality of the generated conditioning inputs, processing a network input generated from (i) the question data and (ii) the conditioning input using a neural network to generate a network output representing a candidate answer to the question; and generating, from the network outputs representing respective candidate answers, answer data representing a final answer to the question.

Abstract: In one or more embodiments, one or more systems, methods, and/or processes may utilize a reactive processing system in an augmented reality (AR) system. The AR system may execute program instructions based on a region of an input video signal and produce an output video signal that includes a first output that includes a video effect from the program instructions. The AR system may determine if the region of the input video signal changes. If so, the program instructions may be executed based on the region of the input video signal and a change of the region of the input video and produce the output video signal that includes the second output that includes the video effect. If not, the output video signal that includes the first output that includes the video effect may continue to be produced.

Abstract: In one or more embodiments, one or more systems, methods, and/or processes may utilize a reactive processing system in an augmented reality (AR) system. The AR system may execute program instructions based on a region of an input video signal and produce an output video signal that includes a first output that includes a video effect from the program instructions. The AR system may determine if the region of the input video signal changes. If so, the program instructions may be executed based on the region of the input video signal and a change of the region of the input video and produce the output video signal that includes the second output that includes the video effect. If not, the output video signal that includes the first output that includes the video effect may continue to be produced.