Salesforce, Inc. patent applications on September 12th, 2024
Patent Applications by Salesforce, Inc. on September 12th, 2024
Salesforce, Inc.: 7 patent applications
Salesforce, Inc. has applied for patents in the areas of G06T5/00 (2), G06F11/32 (1), G06F11/30 (1), G06F11/36 (1), G06F16/903 (1) G06F11/323 (1), G06F16/90344 (1), G06F40/40 (1), G06N3/0475 (1), G06T11/00 (1)
With keywords such as: stack, image, based, data, service, candidate, strings, frame, security, and vector in patent application abstracts.
Patent Applications by Salesforce, Inc.
20240303173. RENDERING A STACK TRACE VISUALIZATION DISPLAY_simplified_abstract_(salesforce, inc.)
Inventor(s): Ravi Sankar Pulle of San Francisco CA (US) for salesforce, inc., Ajay Krishna Borra of San Francisco CA (US) for salesforce, inc., Alexander Kouthoofd of San Francisco HI (US) for salesforce, inc.
IPC Code(s): G06F11/32, G06F11/30, G06F11/36
CPC Code(s): G06F11/323
Abstract: a method and system for rendering a stack trace visualization display has been developed. a first stack trace associated with execution of an application during a time period is received from a central processing unit profiler. a first stack trace visualization display is rendered including a plurality of stack frames stacked in accordance with an order of ancestry based on the first stack trace. rendering at least one stack frame involves rendering at a first location of the first stack trace visualization display, a stack frame rectangle for the at least one stack frame in accordance with the order of ancestry and rendering at a second location of the first stack trace visualization display, stack frame specific text for the at least one stack frame. the second location overlays the first location. rendering of the stack frame rectangle is independent of the rendering of the stack frame specific text.
20240303280. TECHNIQUES FOR AUTOMATIC SUBJECT LINE GENERATION_simplified_abstract_(salesforce, inc.)
Inventor(s): Vera Serdiukova of Mountain View CA (US) for salesforce, inc., Tong Niu of San Jose CA (US) for salesforce, inc., Yingbo Zhou of Palo Alto CA (US) for salesforce, inc., Amrutha Krishnan of San Bruno CA (US) for salesforce, inc., Abigail Kutruff of New York NY (US) for salesforce, inc., Allen Hoem of Indianapolis IN (US) for salesforce, inc., Matthew Wells of Indianapolis IN (US) for salesforce, inc., Andrew Hoblitzell of Greenwood IN (US) for salesforce, inc., Swetha Pinninti of Zionsville IN (US) for salesforce, inc., Brian Brechbuhl of Carmel IN (US) for salesforce, inc., Annie Zhang of Palo Alto CA (US) for salesforce, inc.
IPC Code(s): G06F16/903
CPC Code(s): G06F16/90344
Abstract: a method for data processing is described. the method includes receiving an indication of a reference string from a cloud client of a content generation service. the method further includes generating multiple candidate strings associated with the reference string based on using a machine learning model to calculate similarity metrics between the reference string and the multiple candidate strings, where the machine learning model is trained using a dataset of annotated strings. the method further includes selecting a quantity of the candidate strings based on filtering the multiple candidate strings according to the similarity metrics. the method further includes causing the quantity of candidate strings to be displayed at the cloud client. the method further includes receiving feedback associated with the quantity of candidate strings and a selection of at least one candidate string displayed at the cloud client.
Inventor(s): Na (Claire) Cheng of Yarrow Point WA (US) for salesforce, inc., Jayesh Govindarajan of Palo Alto CA (US) for salesforce, inc., Zachary Alexander of Berkeley CA (US) for salesforce, inc., Shashank Harinath of Mountain View CA (US) for salesforce, inc., Atul Kshirsagar of San Ramon CA (US) for salesforce, inc., Fermin Ordaz of Livermore CA (US) for salesforce, inc.
IPC Code(s): G06F40/40, G06F16/33, G06F40/295
CPC Code(s): G06F40/40
Abstract: embodiments provide a generative ai creation framework to a customized generative ai stack using a foundational model (such as gpt) based on user-defined prompts, a natural language description of the task to be accomplished, and domain adaptation. in one embodiment, organization-specific knowledge may be injected into either the prompt and/or the foundational model. in this way, the customized generative ai stack thus supports a full spectrum of domain-adaptive prompts to enable a full spectrum of personalized and adaptive ai chat applications.
Inventor(s): Na (Claire) Cheng of Yarrow Point WA (US) for salesforce, inc., Jayesh Govindarajan of Palo Alto CA (US) for salesforce, inc., Zachary Alexander of Berkeley CA (US) for salesforce, inc., Shashank Harinath of Mountain View CA (US) for salesforce, inc., Atul Kshirsagar of San Ramon CA (US) for salesforce, inc., Fermin Ordaz of Livermore CA (US) for salesforce, inc.
IPC Code(s): G06N3/0475
CPC Code(s): G06N3/0475
Abstract: embodiments provide a generative ai creation framework to a customized generative ai stack using a foundational model (such as gpt) based on user-defined prompts, a natural language description of the task to be accomplished, and domain adaptation. in one embodiment, organization-specific knowledge may be injected into either the prompt and/or the foundational model. in this way, the customized generative ai stack thus supports a full spectrum of domain-adaptive prompts to enable a full spectrum of personalized and adaptive ai chat applications.
Inventor(s): Bram Wallace of Auburn WA (US) for salesforce, inc., Nikhil Naik of Mountain View CA (US) for salesforce, inc.
IPC Code(s): G06T11/00, G06T5/00
CPC Code(s): G06T11/00
Abstract: embodiments described herein provide a method of generating an image. the method comprises receiving, via a data interface, a natural language prompt, obtaining a noised image vector, and generating a denoised image vector by a first forward pass of a plurality of iterations of a denoising diffusion model with the noised image vector as an input and conditioned on the natural language prompt. the method further includes calculating a gradient of a loss function based on the denoised image vector with respect to the noised image vector, and updating the noised image vector based on the gradient. a final image is generated using a final forward pass of the denoising diffusion model with the updated noised image vector as an input and conditioned on the natural language prompt.
Inventor(s): Shu Zhang of Fremont CA (US) for salesforce, inc., Xinyi Yang of Palo Alto CA (US) for salesforce, inc., Yihao Feng of Austin TX (US) for salesforce, inc., Ran Xu of Mountain View CA (US) for salesforce, inc., Ning Yu of Palo Alto CA (US) for salesforce, inc., Chia-Chih Chen of Palo Alto CA (US) for salesforce, inc.
IPC Code(s): G06T11/60, G06T5/00
CPC Code(s): G06T11/60
Abstract: embodiments described herein provide a feedback based instructional image editing framework that employs a diffusion process to follow user instruction for image editing. a diffusion model is fine-tuned using a reward model, which may be trained via human annotation. the training of the reward model may be done by having the image editing model output a number of images, which a human annotator ranks based on their alignment with the original image and a given instruction.
Inventor(s): Siby Vijayan of Bangalore (IN) for salesforce, inc., Eric Fox of Bellevue WA (US) for salesforce, inc.
IPC Code(s): H04L9/40
CPC Code(s): H04L63/0823
Abstract: systems, devices, and techniques are disclosed for provisioning and secure access control for storage on public servers. data may be received from a tenant service identifying both the tenant service and a security certificate. a data storage container may be generated on a public server. a security role that is associated with the tenant service and includes permissions for accessing data in the data storage container may be generated on the public server. a request to access the data storage container may be received from the tenant service, including an identification of the tenant service and the security certificate. credentials and a request to assume the security role may be sent to an identity provider. a temporary security token for accessing the data storage container with the permissions of the security role may be received from the public server. the temporary security token may be sent to the tenant service.
Salesforce, Inc. patent applications on September 12th, 2024
