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 …

Sparse2520DP SGD 1

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 …

1 data preview.max 1000x1000 1

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 …