Switching from kohyass to onetrainer has changed my life

First all , big credit to bmaltais for making something as awesome and feature rich as kohya ss. And I see him replying multiple times to issues and breakages in the past in a very professional way and with a helpful attitude. That being said my training times took LITERAL DAYS sometimes at 45s/it and …

How to Increase Checkout Completion Rate

Navigating the stages of the online shopping journey involves a carefully orchestrated sequence of steps, each crucial to sealing the deal. From getting customers to the e-commerce store, enticing them to add products to their carts, progressing through the checkout page, entering payment details, and finally hitting the buy button, the journey is filled with …

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Sparsity-preserving differentially private training

Posted by Yangsibo Huang, Research Intern, Google Research; Chiyuan Zhang, Research Scientist, Google Research Large embedding models have emerged as a fundamental tool for various applications in recommendation systems [1, 2] and natural language processing [3, 4, 5]. Such models enable the integration of non-numerical data into deep learning models by mapping categorical or string-valued …

Google DeepMind at NeurIPS 2023

The Neural Information Processing Systems (NeurIPS) is the largest artificial intelligence (AI) conference in the world. NeurIPS 2023 will be taking place December 10-16 in New Orleans, USA.Teams from across Google DeepMind are presenting more than 150 papers at the main conference and workshops.

How to build a successful risk mitigation strategy

As Benjamin Franklin once said, “If you fail to plan, you are planning to fail.” This same sentiment can be true when it comes to a successful risk mitigation plan. The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the …

Sparse2520DP SGD

Sparsity-preserving differentially private training

Posted by Yangsibo Huang, Research Intern, Google Research; Chiyuan Zhang, Research Scientist, Google Research Large embedding models have emerged as a fundamental tool for various applications in recommendation systems [1, 2] and natural language processing [3, 4, 5]. Such models enable the integration of non-numerical data into deep learning models by mapping categorical or string-valued …

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Turn customer feedback into opportunities using generative AI in BigQuery DataFrames

To operate a thriving business, it is important to have a deep understanding of your customers’ needs and extract valuable insights from their feedback. However, the journey of extracting actionable information from customer feedback is a formidable task. Examining and categorizing feedback can help you discover your customers’ core pain points with your products, but …

Using Haar Cascade for Object Detection

Before the deep learning revolution redefined computer vision, Haar features and Haar cascades were the tools you must not ignore for object detection. Even today, they are very useful object detectors because they are lightweight. In this post, you will learn about the Haar cascade and how it can detect objects. After completing this post, …