Abstract: The present disclosure provides a method of facilitating provisioning of a software functionality. Further, the method may include receiving, using a communication device, an input data from a user device. Further, the method may include generating, using a processing device, an output data based on the input data and a first LLM. Further, the first LLM may be trained on training data corresponding to the software functionality. Further, the training data includes an input training data and an output training data. Further, the output training data may be generated by an implementation of the software functionality based on the input training data. Further, the method may include transmitting, using the communication device, the output data.

Abstract: Provided are a preparation method for a power module component, and a power module component. The surface of the component is flat, which can improve the welding accuracy and reduce the contact resistance of the power module components, leading to a higher reliability. The circuits and pins are on the surface of the component, without additional volume, which reduces the volume of the component and improves the power density of the power module. In addition, the power module component provided by an example of the present application is prepared by integrated molding; the gaps among various elements are fully filled, so that the inductance and magnetic flux density of the product can be improved. Moreover, the power module component can have a very small volume, thus increasing the power density of the power module to make the power supply smaller in volume.

Abstract: The present disclosure provides a method of facilitating provisioning of Information Technology infrastructure data. Further, the method may include receiving one or more IT infrastructure data infrastructures from a client device. Further, the method may include analyzing the one or more IT infrastructure data using a first Large Language Model. Further, the first LLM may be trained on a training data comprising an association of two or more IT infrastructure data and two or more IT specification data. Further, the method may include generating one or more IT specification data based on the analyzing. Further, the one or more IT specification data includes a functionality data representing one or more functionalities provided by the one or more IT infrastructures implemented according to the one or more IT specification data. Further, the method may include transmitting the one or more IT specification data to the client device.

Abstract: The present disclosure provides a method for facilitating provisioning of software solutions. Further, the method includes obtaining input data. Further, the input data includes natural language input data. Further, the method includes analyzing the input data using each of a prompt model and a large language model. Further, the prompt model is coupled with the large language model. Further, the large language model is trained on a training data. Further, the prompt model interprets input data for generating requirements of the users. Further, the large language model processes the requirements for designing the software solutions. Further, the method includes generating software solution information for the provisioning of software solutions based on the analyzing of the input data. Further, the method includes transmitting the software solution information to devices. Further, the method includes storing the software solution information and each of the prompt model and the large language model.