Abstract: Implementations relate to generating multi-modal response(s) through utilization of large language model(s) (LLM(s)) and other generative model(s). Processor(s) of a system can: receive natural language (NL) based input, generate a multi-modal response that is responsive to the NL based output, and cause the multi-modal response to be rendered. In some implementations, and in generating the multi-modal response, the processor(s) can process, using a LLM, LLM input to generate LLM output, and determine, based on the LLM output, textual content and generative multimedia content for inclusion in the multi-modal response. In some implementations, the generative multimedia content can be generated by another generative model (e.g., an image generator, a video generator, an audio generator, etc.) based on generative multimedia content prompt(s) included in the LLM output and that is indicative of the generative multimedia content.

Abstract: Implementations relate to managing multimedia content that is obtained by large language model(s) (LLM(s)) and/or generated by other generative model(s). Processor(s) of a system can: receive natural language (NL) based input that requests multimedia content, generate a response that is responsive to the NL based input, and cause the response to be rendered. In some implementations, and in generating the response, the processor(s) can process, using a LLM, LLM input to generate LLM output, and determine, based on the LLM output, at least multimedia content to be included in the response. Further, the processor(s) can evaluate the multimedia content to determine whether it should be included in the response. In response to determining that the multimedia content should not be included in the response, the processor(s) can cause the response, including alternative multimedia content or other textual content, to be rendered.

Abstract: Implementations relate to generating multi-modal response(s) through utilization of large language model(s) (LLM(s)). Processor(s) of a system can: receive natural language (NL) based input, generate a multi-modal response that is responsive to the NL based output, and cause the multi-modal response to be rendered. In some implementations, and in generating the multi-modal response, the processor(s) can process, using a LLM, LLM input (e.g., that includes at least the NL based input) to generate LLM output, and determine, based on the LLM output, textual content for inclusion in the multi-modal response and multimedia content for inclusion in the multi-modal response. In some implementations, the multimedia content can be obtained based on a multimedia content tag that is included in the LLM output and that is indicative of the multimedia content. In various implementations, the multimedia content can be interleaved between segments of the textual content.

Abstract: An electronic cigarette or vaporizer may include a shell and a cartomizer receivable within a chamber within a portion of the shell. A basin may be included in the cartomizer to hold a vaporizable fluid, dry substance, or other vaporizable substance such as a wax. A heating element may be provided within the basin which may have a flexible non-conductive material and a flexible conductive material.

Abstract: A unidirectional transient voltage suppression diode and a process, including a substrate of a first conductivity type and a first implantation region and a second implantation region of a second conductivity type, where the first implantation region is disposed on a front side of the substrate, and the second implantation region is disposed on a back side of the substrate. Depth of a pn junction formed between the second implantation region and the substrate is less than that between the first implantation region and the substrate. First metal is led out of the first implantation region as a first electrode, an insulation layer is disposed between a barrier layer and a first metal layer, and second metal is led out of the second implantation region on the back side and the substrate respectively as a second electrode.

Abstract: An electronic cigarette or vaporizer may include a shell and a cartomizer receivable within a chamber within a portion of the shell. A basin may be included in the cartomizer to hold a vaporizable fluid, dry substance, or other vaporizable substance such as a wax. A heating element may be provided within the basin which may have a flexible non-conductive material and a flexible conductive material.

Abstract: A impurity detection method of latamoxef sodium is configured to detect the impurities in latamoxef sodium for injection by using high performance liquid chromatography. A chromatographic condition is as follows: taking Agilent ZORBAX SB-CN cyano bonded silica gel column as a stationary phase, taking 0.005˜0.015 mol/L ammonium acetate solution-methanol as a mobile phase A; taking 0.02˜0.03 mol/L ammonium acetate solution-acetonitrile as a mobile phase B; adjusting a pH value of the ammonium acetate solution to 5.8˜6.5; the present disclosure has advantages of a simple operation, high column efficiency, a moderate tailing factor and a retention time of a main peak, high detection accuracy of strong alkali damage, effective separation between the main peak and each impurity peak without interference, which is conducive to accurately controlling quality of lyophilized powder of latamoxef sodium for injection and ensuring quality of drugs.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing neural architecture search for machine learning models. In one aspect, a method comprises receiving training data for a machine learning, generating a plurality of candidate neural networks for performing the machine learning task, wherein each candidate neural network comprises a plurality of instances of a layer block composed of a plurality of layers, for each candidate neural network, selecting a respective type for each of the plurality of layers from a set of layer types that comprises, training the candidate neural network and evaluating performance scores for the trained candidate neural networks as applied to the machine learning task, and determining a final neural network for performing the machine learning task based at least on the performance scores for the candidate neural networks.

Abstract: Implementations relate to managing multimedia content that is obtained by large language model(s) (LLM(s)) and/or generated by other generative model(s). Processor(s) of a system can: receive natural language (NL) based input that requests multimedia content, generate a response that is responsive to the NL based input, and cause the response to be rendered. In some implementations, and in generating the response, the processor(s) can process, using a LLM, LLM input to generate LLM output, and determine, based on the LLM output, at least multimedia content to be included in the response. Further, the processor(s) can evaluate the multimedia content to determine whether it should be included in the response. In response to determining that the multimedia content should not be included in the response, the processor(s) can cause the response, including alternative multimedia content or other textual content, to be rendered.

Abstract: Implementations relate to generating multi-modal response(s) through utilization of large language model(s) (LLM(s)). Processor(s) of a system can: receive natural language (NL) based input, generate a multi-modal response that is responsive to the NL based output, and cause the multi-modal response to be rendered. In some implementations, and in generating the multi-modal response, the processor(s) can process, using a LLM, LLM input (e.g., that includes at least the NL based input) to generate LLM output, and determine, based on the LLM output, textual content for inclusion in the multi-modal response and multimedia content for inclusion in the multi-modal response. In some implementations, the multimedia content can be obtained based on a multimedia content tag that is included in the LLM output and that is indicative of the multimedia content. In various implementations, the multimedia content can be interleaved between segments of the textual content.

Abstract: A refining method of a midbody of latamoxef sodium includes: dissolving 7?-amino-7?-methoxy-3-(5-tetrazolyl)thiomethyl-1-oxa-3-cephem-4-carboxylic acid in dichloromethane, and then dividing into a dichloromethane layer and a water layer; extracting the dichloromethane layer, adding a NaHCO3 solution to stir, and remaining an organic layer after stratification; stirring, crystallizing and filtering the organic layer in turn, to obtain a filtrate, preparing a second powder by stirring the filtrate under conditions of a catalyst and a normal temperature; preparing a first powder by extracting the water layer, dropping the hydrochloric acid to adjust a pH value thereof, performing crystal cultivation and suction filtration after performing cooling, and then performing vacuum drying; combining the first powder and the second powder to prepare the midbody of latamoxef sodium: 7?3-amino-7?-methoxy-3-(5-tetrazolyl)thiomethyl-1-oxa-3-cephem-4-carboxylic acid, which has a yield of 95.6-96.8% and a purity of 99.2-99.5%.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform a machine learning task using a momentum and sign based optimizer.

Abstract: According to various implementations, generally disclosed herein is a hybrid and hierarchical neural architecture search (NAS) approach. The approach includes performing a search space partitioning scheme to divide the search space into sub-search spaces. The approach further includes performing a first type of NAS, such as a Multi-trial NAS, to cover a search across the sub-search spaces. The approach also includes performing a second type of NAS, such as a One-Shot NAS, to cover each sub-search space. The approach further includes automatically stopping the second type of NAS based on one or more early stopping criteria.

Abstract: Vaporizer and/or electronic cigarette chargers useful for the recharging of rechargeable vaporizer or electronic cigarette power supplies such as batteries, compatible vaporizers and/or electronic cigarettes, their components, charging contacts, methods of their use and kits containing such chargers are disclosed.

Abstract: Techniques for replicating data involve: determining overwritten probabilities of a plurality of data blocks of a source storage device. The techniques further involve: classifying the plurality of data blocks as cold data blocks or hot data blocks based on the overwritten probabilities in the plurality of data blocks. The techniques further involve: replicating at least a portion of the cold data blocks to a target storage device prior to the hot data blocks. Accordingly, transmission resources used to re-replicate overwritten data during an initial replication period can be reduced, thereby achieving efficient data replication.

Abstract: A method for searching for an output machine learning (ML) algorithm to perform an ML task is described. The method comprising: receiving data specifying an input ML algorithm; receiving data specifying a search algorithm that searches for candidate ML algorithms and an evaluation function that evaluates the performance of candidate ML algorithms; generating data representing a symbolic tree from the input ML algorithm; generating data representing a hyper symbolic tree from the symbolic tree; searching an algorithm search space that defines a set of possible concrete symbolic trees from the hyper symbolic tree for candidate ML algorithms and training the candidate ML algorithms to determine a respective performance metric for each candidate ML algorithm; and selecting one or more trained candidate ML algorithms among the trained candidate ML algorithms based on the determined performance metrics.

Abstract: Vaporizer and/or electronic cigarette chargers useful for the recharging of rechargeable vaporizer or electronic cigarette power supplies such as batteries, compatible vaporizers and/or electronic cigarettes, their components, charging contacts, methods of their use and kits containing such chargers are disclosed.

Abstract: Techniques for managing a file system involve in response to receiving, at a first backup device of the file system, a request for replicating data of the file system from the first backup device to a second backup device of the file system, determining a synchronization state between the first backup device and the file system, the second backup device being a backup device located downstream of the first backup device; creating, based on the synchronization state, a target snapshot associated with the file system; and causing the data to be replicated from the first backup device to the second backup device based on the target snapshot. Therefore, the data backup flexibility and accuracy of a file system can be significantly improved and therefore the reliability of the whole system may be enhanced.

Abstract: A impurity detection method of latamoxef sodium is configured to detect the impurities in latamoxef sodium for injection by using high performance liquid chromatography. A chromatographic condition is as follows: taking Agilent ZORBAX SB-CN cyano bonded silica gel column as a stationary phase, taking 0.005˜0.015 mol/L ammonium acetate solution-methanol as a mobile phase A; taking 0.02˜0.03 mol/L ammonium acetate solution-acetonitrile as a mobile phase B; adjusting a pH value of the ammonium acetate solution to 5.8˜6.5; the present disclosure has advantages of a simple operation, high column efficiency, a moderate tailing factor and a retention time of a main peak, high detection accuracy of strong alkali damage, effective separation between the main peak and each impurity peak without interference, which is conducive to accurately controlling quality of lyophilized powder of latamoxef sodium for injection and ensuring quality of drugs.

Abstract: Embodiments of the present disclosure provide a method, a computer program product and apparatus for processing transactions in a synchronized replication system, wherein the method comprises, at a source site in the synchronized replication system: serializing commits of transactions in the synchronized replication system so that only one of the transactions can be committed at the same time; in response to initiating the commit of the one transaction, generating a log for each of transactions that are ongoing in the synchronized replication system, so as to record impact of all operations of a respective transaction on the synchronized replication system; marking transactions for which the logs have been generated; and completing commits of the marked transactions.