IEEE

Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing

Abstract: Model stealing (MS) involves querying and observing the output of a machine learning model to steal its capabilities. The quality of queried data is crucial, yet obtaining a large amount of ...
IEEE

Corrections to “Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes”

Abstract: In [1], to maintain the integrity of the publication and uphold academic standards, a correction is requested for an identified error. Fig. 12 in the ...
GitHub

Function calling using Amazon Bedrock with Anthropic Claude 3

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies and a set of capabilities to build generative AI applications. This sample ...
Hosted on MSN

Part 3 - Samples failed - what number do you want - I'll try again and do tutorials 554

The samples failed - What number do you want me try again and do tutorials (part 3) Before recording a video tutorial, I had to try that pattern several times until it was satisfied. Apart from ...
GitHub

A Generative Foundation Reward Model (GRAM)

This repository contains the code and released models for our paper GRAM: A Generative Foundation Reward Model for Reward Generalization 📝. We propose a more effective approach to reward model ...