Abstract: Disclosed are a method and apparatus for accelerating inference of a neural network model, an electronic device, and a medium. The method includes: acquiring image training data, text training data, or speech training data; determining a first neural network model to be accelerated; converting a preset operation on a preset network layer in the first neural network model to a first operation for simulating operational logic of a target operation to obtain a second neural network model; performing, based on the image training data, the text training data, or the speech training data, quantization aware training on the second neural network model by a preset bit width to obtain a third neural network model which is quantized; and converting the first operation of the third neural network model to the target operation, to obtain a target neural network model, which is accelerated, corresponding to the first neural network model.

Abstract: Unstructured data items are stored at an object storage service. A filtering requirement to be used to generate a result set for an access request is determined. Using a transformed representation of the filtering requirement, a target set of tokens of the filtering requirement which are to be obfuscated within a log record is identified. A log record that comprises substitute tokens for the target set of tokens is generated and stored.

Abstract: Unstructured data items are stored at an object storage service. A filtering requirement to be used to generate a result set for an access request is determined. Using a transformed representation of the filtering requirement, a target set of tokens of the filtering requirement which are to be obfuscated within a log record is identified. A log record that comprises substitute tokens for the target set of tokens is generated and stored.

Abstract: Unstructured data items are stored at an object storage service. A filtering requirement to be used to generate a result set for an access request is determined. Using a transformed representation of the filtering requirement, a target set of tokens of the filtering requirement which are to be obfuscated within a log record is identified. A log record that comprises substitute tokens for the target set of tokens is generated and stored.

Abstract: Unstructured data items are stored at an object storage service. A filtering requirement to be used to generate a result set for an access request is determined. Using a transformed representation of the filtering requirement, a target set of tokens of the filtering requirement which are to be obfuscated within a log record is identified. A log record that comprises substitute tokens for the target set of tokens is generated and stored.

Abstract: Unstructured data items are stored in an item collection. An access request comprising an input interpretation rule and a filtering criterion is directed to at least a portion of the item collection. Records are extracted from an unstructured data item using the input interpretation rule. A response to the access request is obtained, based at least partly in a determination that one of the records satisfies the filtering criterion.

Abstract: Unstructured data items are stored at an object storage service. A filtering criterion to be used to generate a result set for an access request is determined. A test that can be used to determine, without completing parsing of a record identified in an unstructured data item, whether the record satisfies the filtering criterion is identified. Parsing of a particular record is abandoned in response to determining, using the test, that the record satisfies the filtering criterion. A response to the access request is determined using a subset of records that satisfy the filtering criterion.