公开(公告)号：US20240202538A1

公开(公告)日：2024-06-20

申请号：US18535928

申请日：2023-12-11

Applicant: SRI International

Inventor： Aswin NADAMUNI RAGHAVAN ,  Indranil SUR ,  Zachary DANIELS ,  Jesse HOSTETLER ,  Abrar RAHMAN ,  Ajay DIVAKARAN ,  Michael R. PIACENTINO

IPC: G06N3/092

CPC classification number: G06N3/092

Abstract: A method, apparatus and system for lifelong reinforcement learning include receiving features of a task, communicating the task features to a learning system, where the learning system learns or performs a task related to the features based on learning or performing similar previous tasks, determining from the features if the task has changed and if so, communicating the features of the changed task to the learning system, where the learning system learns or performs the changed task based on learning or performing similar previous tasks, automatically annotating feature characteristics of received features including differences between the features of the original task and the features of the changed task to enable the learning system to more efficiently learn or perform at least the changed task, and if the task has not changed, processing the task features of a current task by the learning system to learn or perform the current task.

公开(公告)号：US20240338599A1

公开(公告)日：2024-10-10

申请号：US18619916

申请日：2024-03-28

Applicant: SRI International

Inventor： Karan SIKKA ,  Michael COGSWELL ,  Pritish SAHU ,  Meng YE ,  Abrar RAHMAN ,  Rohit SRIDHAR ,  Ajay DIVAKARAN

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A method, apparatus and system for adapting a language model for understanding domain-specific multimodal content include acquiring domain-specific multimodal content for at least one content domain and applying question/answer pairs to the acquired, domain-specific multimodal content for the at least one content domain to train the language model to learn tasks associated with the domain-specific multimodal content for the at least one domain. As such, the trained language model can be implemented to answer questions directed to the domain-specific multimodal content for the at least one domain.