Abstract: An optimal configuration method and device for energy storage capacity of an optical storage system, and apparatus and storage medium are provided, and relates to the photovoltaic field. The specific steps includes: obtaining original output data of a photovoltaic power station for step output; constructing a model of genetic algorithm, and determining algorithm parameters and a fitness function of the genetic algorithm; performing optimization operation based on the genetic algorithm and the original output data to obtain a recommended energy storage capacity, and building an energy storage device according to the recommended energy storage capacity.

Abstract: A lithium salt-free composite solid electrolyte membrane and a preparation method thereof are provided. The composition of the lithium salt-free composite solid electrolyte membrane includes: micro-nanoscale garnet-type solid electrolyte and polymer; where a mass ratio of the micro-nanoscale garnet-type solid electrolyte to the polymer is (60-100):(5-40); a particle size of the micro-nanoscale garnet-type solid electrolyte is 100 nm-2 ?m. The disclosure also provides a preparation method for the lithium salt-free composite solid electrolyte membrane. The lithium salt-free composite solid electrolyte membrane prepared by the disclosure has controllable morphology and thickness, and does not need to add lithium salt and be equipped with anhydrous and inert environment atmosphere, so that the production cost can be significantly reduced, and large-scale production is easy.

Abstract: A transcription of audio speech included in electronic content associated with a meeting is created by an ASR model trained on speech-to-text data. The transcription is post-processed by modifying text included in the transcription, for example, by modifying punctuation, grammar, or formatting introduced by the ASR model and by changing or omitting one or more words that were included in both the audio speech and the transcription. After the transcription is post-processed, output based on the post-processed transcription is generated in the form of a meeting summary and/or template.

Abstract: A transcription of audio speech included in electronic content associated with a meeting is created by an ASR model trained on speech-to-text data. The transcription is post-processed by modifying text included in the transcription, for example, by modifying punctuation, grammar, or formatting introduced by the ASR model and by changing or omitting one or more words that were included in both the audio speech and the transcription. After the transcription is post-processed, output based on the post-processed transcription is generated in the form of a meeting summary and/or template.

Abstract: A transcription of audio speech included in electronic content associated with a meeting is created by an ASR model trained on speech-to-text data. The transcription is post-processed by modifying text included in the transcription, for example, by modifying punctuation, grammar, or formatting introduced by the ASR model and by changing or omitting one or more words that were included in both the audio speech and the transcription. After the transcription is post-processed, output based on the post-processed transcription is generated in the form of a meeting summary and/or template.