Abstract: Disclosed herein are methods, systems, and computer-readable media for automatically generating and editing text. In an embodiment, a method may include receiving an input text prompt and receiving one or more user instructions. The method may also include accessing a language model based on the input text prompt and the one or more user instructions. The method may also include outputting, using the accessed language model, language model output text. The method may also include editing the input text prompt based on the language model and the one or more user instructions by replacing at least a portion of the input text prompt with the language model output text.

Abstract: Disclosed herein are methods, systems, and computer-readable media for automatically generating and editing text. In an embodiment, a method may include receiving an input text prompt and receiving one or more user instructions. The method may also include accessing a language model based on the input text prompt and the one or more user instructions. The method may also include outputting, using the accessed language model, language model output text. The method may also include editing the input text prompt based on the language model and the one or more user instructions by replacing at least a portion of the input text prompt with the language model output text.

Abstract: A system for authenticating a wireless device. The device comprises an RF feature extractor operable to extract RF features related to a plurality of wireless devices. A deep learning engine is provided which is operable to learn the RF features evaluates RF features related to the plurality of devices. The RF extractor is operable to further receive RF features of a new instance of a specific wireless device from the plurality of devices. An analyzer is operable to detect a signature for the specific wireless device using the RF characteristics about the new instance using the deep learning engine.