公开(公告)号：US20250148015A1

公开(公告)日：2025-05-08

申请号：US19012626

申请日：2025-01-07

Applicant: QUALCOMM Incorporated

Inventor： Christopher LOTT ,  Mingu LEE ,  Wonseok JEON ,  Roland MEMISEVIC

IPC: G06F16/901 ,  G06F40/284

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for generating a response to a query input in a generative artificial intelligence model. An example method generally includes receiving a plurality of sets of tokens generated based on an input prompt and a first generative artificial intelligence model, each set of tokens in the plurality of sets of tokens corresponding to a candidate response to the input prompt; selecting, using a second generative artificial intelligence model and recursive adjustment of a target distribution associated with the received plurality of sets of tokens, a set of tokens from the plurality of sets of tokens; and outputting the selected set of tokens as a response to the input prompt.

公开(公告)号：US20250094793A1

公开(公告)日：2025-03-20

申请号：US18469909

申请日：2023-09-19

Applicant: QUALCOMM Incorporated

Inventor： Manish Kumar SINGH ,  Tianyu JIANG ,  Hsin-Pai CHENG ,  Kartikeya BHARDWAJ ,  Hong CAI ,  Mingu LEE ,  Munawar HAYAT ,  Christopher LOTT ,  Fatih Murat PORIKLI

IPC: G06N3/0499

Abstract: A processor-implemented method for image or text processing includes receiving, by an artificial neural network (ANN) model, a set of tokens corresponding to an input. A token interaction block of the ANN model processes the set of tokens according to each channel of the input to generate a spatial mixture of a set of features for each channel of the input. A feed forward network block of the ANN model generates a mixture of channel features based on the spatial mixture of the set of features for each channel of the input. An attention block of the ANN model determines a set of attended features of the mixture of channel features according to a set of attention weights. In turn, the ANN model generates an inference based on the set of attend features of the mixture of channel features.

公开(公告)号：US20240394936A1

公开(公告)日：2024-11-28

申请号：US18466747

申请日：2023-09-13

Applicant: QUALCOMM Incorporated

Inventor： Reza POURREZA ,  Roland MEMISEVIC ,  Apratim BHATTACHARYYA ,  Sunny Praful Kumar PANCHAL ,  Mingu LEE ,  Pulkit MADAN

IPC: G06T11/20 ,  G06N3/0464 ,  G06N3/084 ,  G06T11/60

Abstract: A processor-implemented method for image generation using an artificial neural network (ANN) includes receiving an input including one or more of an image or a text prompt. The ANN processes the input to determine one or more virtual brush strokes to generate an output image or one or more commands for controlling an image drawing application to generate the output image. A list of the one or more virtual brush strokes to generate the output image or the one or more commands for controlling the image drawing application to generate the output image. The one or more virtual brush strokes or commands may be executed to generate a sketch based on the input.

公开(公告)号：US20240362468A1

公开(公告)日：2024-10-31

申请号：US18543533

申请日：2023-12-18

Applicant: QUALCOMM Incorporated

Inventor： Mingu LEE ,  Christopher LOTT ,  Joseph Binamira SORIAGA ,  Jilei HOU ,  Muralidhar Reddy AKULA ,  Jeffrey Baginsky GEHLHAAR

IPC: G06N3/0475

CPC classification number: G06N3/0475

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for generating a response to an input query using a generative artificial intelligence model. An example method generally includes receiving an input for processing. A prompt representing the received input is generated based on the received input, contextual information associated with the received prompt, and a prompt-generating artificial intelligence model. The generated prompt is output to a generative artificial intelligence model for processing. A response to the generated prompt is received from the generative artificial intelligence model and output as a response to the received input.

公开(公告)号：US20240354345A1

公开(公告)日：2024-10-24

申请号：US18538912

申请日：2023-12-13

Applicant: QUALCOMM Incorporated

Inventor： Christopher LOTT ,  Mingu LEE ,  Wonseok JEON ,  Roland MEMISEVIC

IPC: G06F16/901 ,  G06F40/284

CPC classification number: G06F16/9027 ,  G06F40/284

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for generating a response to a query input in a generative artificial intelligence model. An example method generally includes receiving a plurality of sets of tokens generated based on an input prompt and a first generative artificial intelligence model, each set of tokens in the plurality of sets of tokens corresponding to a candidate response to the input prompt; selecting, using a second generative artificial intelligence model and recursive adjustment of a target distribution associated with the received plurality of sets of tokens, a set of tokens from the plurality of sets of tokens; and outputting the selected set of tokens as a response to the input prompt.

公开(公告)号：US20240320433A1

公开(公告)日：2024-09-26

申请号：US18479672

申请日：2023-10-02

Applicant: QUALCOMM Incorporated

Inventor： Christopher LOTT ,  Mingu LEE ,  Joseph Binamira SORIAGA ,  Jilei HOU

IPC: G06F40/284 ,  G06F16/22

CPC classification number: G06F40/284 ,  G06F16/2246

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for generating a response to an input query using generative models. The method generally includes generating, based on an input query and a first generative model, a first plurality of sets of tokens. The first plurality of sets of tokens are output to a second generative model for verification. While waiting to receive an indication of a selected set of tokens from the first plurality of sets of tokens, a second plurality of sets of tokens are speculatively generated. The indication of a selected set of tokens from the first plurality of sets of tokens is received. Tokens from the second plurality of sets of tokens associated with the selected set of tokens are output to the second generative model for verification, and the selected set of tokens is output as a response to the input query.