Abstract: A vehicle includes a ranged sensor that generates time-series data indicating positions of objects in an environment surrounding the vehicle, a user interface configured to warn the driver of a predicted collision between the vehicle and one of the objects in the environment, and at least one processor including an ECU operatively connected to the ranged sensor and the user interface. The processor records control inputs by the driver driving the vehicle, and develops a driver behavior model associated with the driver driving the vehicle based on the control inputs. The processor also predicts trajectories of the objects and the vehicle based on the time-series data and the driver behavior model, and predicts a collision between the vehicle and one of the objects based on the predicted trajectories. The processor also generates a warning indicating the predicted collision to the driver.

Abstract: A data processing service builds a container for a customer to run a trained large language model (LLM). The data processing service receives a trained LLM and a desired configuration from a user of a client device. Based on the desired configuration, the data processing service selects a hardware configuration and structures weights of the trained LLM based on the hardware configuration. The data processing service generates a container image reflecting the hardware configuration, registers the container image to a container registry, and generates a container from the container image as well as an application programming interface (API) endpoint for the container. The data processing service deploys the trained LLM in the API endpoint using the container such that the trained LLM is accessible through API calls.

Abstract: A vehicle includes a ranged sensor that generates time-series data indicating positions of objects in an environment surrounding the vehicle, a user interface configured to warn the driver of a predicted collision between the vehicle and one of the objects in the environment, and at least one processor including an ECU operatively connected to the ranged sensor and the user interface. The processor records control inputs by the driver driving the vehicle, and develops a driver behavior model associated with the driver driving the vehicle based on the control inputs. The processor also predicts trajectories of the objects and the vehicle based on the time-series data and the driver behavior model, and predicts a collision between the vehicle and one of the objects based on the predicted trajectories. The processor also generates a warning indicating the predicted collision to the driver.