Abstract: Methods, computing systems, and technology for personalizing a user experience in a vehicle. For example, a computing system may be configured to receive a user prompt from a user associated with a vehicle, the user prompt indicative of a statement or a question. The computing system may be configured to access sensor data associated with a surrounding environment of the vehicle. The computing system may be configured to generate, using a context engine, a modified user prompt based on the user prompt and the sensor data, wherein the modified user prompt supplements the user prompt with the context data, the context data providing one or more conditions associated with the user prompt. The computing system may be configured to generate, based on the modified user prompt, a user response, wherein the user response implements an action corresponding to the statement or the question.

Abstract: Methods, computing systems, and technology are presented for providing voice assistance in a vehicle. For example, a computing system may be configured to access a first voice prompt indicative of a speech-based voice query provided by a user of the vehicle. The computing system may be configured to determine, based on the first voice prompt, a first prompt message corresponding to a text-based transcription of the first voice prompt. The computing system may be configured to process the first prompt message with a machine-learned large language model trained to generate a digital message response based on the first prompt message. The computing system may be configured to convert the digital message response to a speech-based voice response. The computing system may be configured to provide the speech-based voice response as audio output to the user of the vehicle.