Deepmind technologies limited (20240281659). AUGMENTING MACHINE LEARNING LANGUAGE MODELS USING SEARCH ENGINE RESULTS simplified abstract

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AUGMENTING MACHINE LEARNING LANGUAGE MODELS USING SEARCH ENGINE RESULTS

Organization Name

deepmind technologies limited

Inventor(s)

Angeliki Lazaridou of London (GB)

Elena Gribovskaya of London (GB)

Nikolai Grigorev of London (GB)

Wojciech Jan Stokowiec of London (GB)

AUGMENTING MACHINE LEARNING LANGUAGE MODELS USING SEARCH ENGINE RESULTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240281659 titled 'AUGMENTING MACHINE LEARNING LANGUAGE MODELS USING SEARCH ENGINE RESULTS

The patent application describes methods, systems, and apparatus for enhancing machine learning language models using search engine results.

  • Obtaining question data representing a question
  • Generating a search engine query from the question data
  • Obtaining a plurality of documents identified by the search engine in response to the query
  • Generating conditioning inputs from the obtained documents
  • Processing network inputs generated from the question data and conditioning inputs using a neural network to generate candidate answers
  • Generating answer data representing a final answer to the question

Potential Applications: - Improving the accuracy and efficiency of machine learning language models - Enhancing natural language processing capabilities - Streamlining information retrieval processes

Problems Solved: - Enhancing the performance of machine learning models in answering questions - Leveraging search engine results to improve language understanding

Benefits: - Increased accuracy in generating answers to questions - Enhanced natural language processing capabilities - Improved efficiency in information retrieval processes

Commercial Applications: Title: "Enhancing Machine Learning Language Models with Search Engine Results" This technology could be utilized in chatbots, virtual assistants, search engines, and customer support systems to provide more accurate and relevant responses to user queries.

Questions about the technology: 1. How does this technology improve the performance of machine learning language models? 2. What are the potential implications of integrating search engine results into language processing systems?


Original Abstract Submitted

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.

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