Abstract: An auto-regressive method for a large language model includes receiving a hidden state associated with at least one token, generating key data, first value data, and query data according to a received hidden state, generating first positionally encoded key data by encoding the key data positionally, generating positionally encoded query data by encoding the query data positionally, performing first element-wise dot product operations according to the first positionally encoded key data, the positionally encoded query data, and second positionally encoded key data to generate an attention score, performing second element-wise dot product operations according to the first value data, the attention score, and second value data to generate an attention output, and adding the attention output and the hidden state to generate an updated hidden output.

Abstract: An electronic device is configured to execute instructions: compiling a first AI model and second AI model(s) to a first compiled file and second compiled file(s), respectively, wherein the first compiled file comprises a first data set and a first command set, and the second compiled file(s) comprises second data set(s) and second command set(s); generating light version file(s) for the AI model(s), wherein the light version file(s) comprises the second command set(s) and data patch(es); storing the first compiled file and the light version file(s) to a storage device; loading the first compiled file from the storage device to a memory; loading the light version file(s) from the storage device to the memory; generating the second data set(s) according to the first data set and the data patch(es); and executing the second AI model(s) according to the generated second data set(s) and the second command set(s) in the memory.

Abstract: A process for waterproofing a construction surface and slits of the construction surface comprises a first step in which the construction surface and the slits of the construction surface are dried by heating, so as to open up capillary pores of the construction surface and the slits of the construction surface. Thereafter, an appropriate amount of a synthetic asphalt is paved on the construction surface and the slits of the construction surface. The synthetic asphalt is then heated to permeate into the capillary pores of the construction surface and the slits of the construction surface.

Abstract: A process is designed to finish all slits of the surface layer of an airplane runway. The process involves a first step in which a slit is heated such that the surface of the slit is dry, and that the capillary holes of the slit are opened up. The surface of the slit is then provided with a coating of an asphalt synthetic agent. The coating is subsequently heated to cause the molecules of the asphalt synthetic agent to diffuse into the capillary holes of the slit, thereby preventing the water from finding its way into the gradation layer of the runway. In the meantime, the slit is provided with a soft interface capable of preventing the water from finding its way into the slits of the surface layer of the runway. The soft interface is securely attached to the slits regardless of the climatic changes.

Abstract: A process for waterproofing a construction surface and slits of the construction surface comprises a first step in which the construction surface and the slits of the construction surface are dried by heating, so as to open up capillary pores of the construction surface and the slits of the construction surface. Thereafter, an appropriate amount of a synthetic asphalt is paved on the construction surface and the slits of the construction surface. The synthetic asphalt is then heated to permeate into the capillary pores of the construction surface and the slits of the construction surface.