Abstract: The present disclosure provides a method for securing containerized applications during application development and deployment process. The method comprises, obtaining vulnerability data associated with a plurality of container images, wherein the vulnerability data identifies a vulnerable version of a software package and an alternate version of the software package. The method further comprises, analysing, by an artificial intelligence engine, the vulnerability data for each container image of the plurality of container images, wherein the vulnerability data is analyzed based on historical data including at least one of context-specific vulnerabilities, past vulnerability reports, false positives and performance metrics of the containerized applications, stored in a knowledge base. The method further comprises, recommending, by the artificial intelligence engine, a suggested version of the software package for each container image.

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 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: Enclosure assembly includes an outer box enclosure and a flexible, resealable enclosure that is disposed within the outer box enclosure. The resealable enclosure has a resealer formed by a single intermeshable closure member that is affixed to and wraps from a front side of the outer box enclosure, around at least one of side edge of the outer box enclosure, and onto a back side of the resealable enclosure. Prior to initially opening the resealable enclosure, the intermeshable closure member is uncoupled with itself. The intermeshable closure member is configured to couple with itself at a first area of the intermeshable closure member that is on the front side of the resealable enclosure and at a different, second area of the intermeshable closure member that is on the back side of the resealable enclosure to close the resealable enclosure.

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: Enclosure assembly includes an outer box enclosure and a flexible, resealable enclosure that is disposed within the outer box enclosure. The resealable enclosure has a resealer formed by a single intermeshable closure member that is affixed to and wraps from a front side of the outer box enclosure, around at least one of side edge of the outer box enclosure, and onto a back side of the resealable enclosure. Prior to initially opening the resealable enclosure, the intermeshable closure member is uncoupled with itself. The intermeshable closure member is configured to couple with itself at a first area of the intermeshable closure member that is on the front side of the resealable enclosure and at a different, second area of the intermeshable closure member that is on the back side of the resealable enclosure to close the resealable enclosure.