Abstract: Systems and methods provide for structured prompts that are accessible through application programming interface (API.) An API request that includes one or more data elements and is indicative of a pre-defined prompt template for executing a task is received from an application process. In response, a pre-defined prompt template indicated by the API request is obtained. A prompt is generated for a machine learning model by applying the one or more data elements to the pre-defined prompt template. The prompt is provided to the machine learning model and the machine learning model processes the prompt to generate an output. The output is then transmitted back to the application process as an API response.

Abstract: The subject technology provides for a model management and deployment system for machine learning models. A system includes a model manager configured to schedule execution of one or more machine learning models on one or more electronic devices or servers. The system also includes a model catalog configured to store information associated with the one or more machine learning models. The model manager may access the model catalog to determine scheduling priorities based on the stored information.

Abstract: This invention utilizes the partial pressure difference of alcohol in two areas separated by a microporous membrane wherein one area contains a solution of alcohol and at least one other liquid and the other area contains predominately only the other liquid to cause the alcohol to migrate through the membrane.