How the digital ad industry can guide the ways AI transforms businesses
The digital advertising industry must look closely at how AI is implemented as it begins to use the tech for targeting, measurement, personalization and optimization.Read More
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
submitted by /u/MapacheD [link] [comments]
Transforming Travel Loyalty Marketing
Airlines pioneered travel loyalty programs more than a generation ago with the first offers for frequent flyer miles. Over time, these plans proliferated, for both the business and the leisure traveler. In response, travel and hospitality companies are transforming travel loyalty marketing programs to create better value for all customers as well as for the …
What are Large Language Models
Last Updated on May 19, 2023 Large language models (LLMs) are recent advances in deep learning models to work on human languages. Some great use case of LLMs has been demonstrated. A large language model is a trained deep-learning model that understands and generates text in a human-like fashion. Behind the scene, it is a …
3 Secret Power of Building Next-Level AI Apps using ChatGPT & BARD
Get ready to witness a revelation that will transform the way you build apps! We are thrilled to unveil the surprising secrets of ChatGPT’s API, opening up a world of limitless possibilities for your app development journey. Brace yourself for an email that cuts straight to the chase! Secret #1 Supercharge your app with the immense potential …
Read more “3 Secret Power of Building Next-Level AI Apps using ChatGPT & BARD”
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations
This work investigates pre-trained audio representations for few shot Sound Event Detection. We specifically address the task of few shot detection of novel acoustic sequences, or sound events with semantically meaningful temporal structure, without assuming access to non-target audio. We develop procedures for pre-training suitable representations, and methods which transfer them to our few shot …
Debugging a FUSE deadlock in the Linux kernel
Tycho Andersen The Compute team at Netflix is charged with managing all AWS and containerized workloads at Netflix, including autoscaling, deployment of containers, issue remediation, etc. As part of this team, I work on fixing strange things that users report. This particular issue involved a custom internal FUSE filesystem: ndrive. It had been festering for some …
Improved CPU throttling measurement
It has been a year and a half since we rolled out the throttling-aware container CPU sizing feature for IBM Turbonomic, and it has captured quite some attention, for good reason. As illustrated in our first blog post, setting the wrong CPU limit is silently killing your application performance and literally working as designed. Turbonomic …
Making ML models differentially private: Best practices and open challenges
Posted by Natalia Ponomareva and Alex Kurakin, Staff Software Engineers, Google Research Large machine learning (ML) models are ubiquitous in modern applications: from spam filters to recommender systems and virtual assistants. These models achieve remarkable performance partially due to the abundance of available training data. However, these data can sometimes contain private information, including personal …
Read more “Making ML models differentially private: Best practices and open challenges”
Introducing an image-to-speech Generative AI application using Amazon SageMaker and Hugging Face
Vision loss comes in various forms. For some, it’s from birth, for others, it’s a slow descent over time which comes with many expiration dates: The day you can’t see pictures, recognize yourself, or loved ones faces or even read your mail. In our previous blogpost Enable the Visually Impaired to Hear Documents using Amazon …