Are you looking for a way to inject a bit of humor into any occasion? Have you ever wanted to have an AI joke generator that could think up hilarious lines in an instant? Well, then look no further – because this blog post is all about finding the best AI joke generator out there! …
Posted by Minji Yoon, Research Intern, and Bryan Perozzi, Research Scientist, Google Research, Graph Mining Team Industrial applications of machine learning are commonly composed of various items that have differing data modalities or feature distributions. Heterogeneous graphs (HGs) offer a unified view of these multimodal data systems by defining multiple types of nodes (for each …
Read more “Teaching old labels new tricks in heterogeneous graphs”
The fashion industry is a highly lucrative business, with an estimated value of $2.1 trillion by 2025, as reported by the World Bank. This field encompasses a diverse range of segments, such as the creation, manufacture, distribution, and sales of clothing, shoes, and accessories. The industry is in a constant state of change, with new …
Read more “Virtual fashion styling with generative AI using Amazon SageMaker “
The quest for knowledge at work can feel like searching for a needle in a haystack. But what if the haystack itself could reveal where the needle is? That’s the promise of large language models, or LLMs, the subject of this week’s episode of the NVIDIA AI Podcast featuring Deedy Das and Eddie Zhou, founding …
Read more “Glean Founders Talk AI-Powered Enterprise Search”
How can we distinguish between human-written text and that created by ChatGPT and other generative AI models? We put several to the test.Read More
Researchers test cognitive abilities of the language model GPT-3.
While robots have become increasingly advanced over the past few years, most of them are still unable to reliably navigate very crowded spaces, such as public areas or roads in urban environments. To be implemented on a large-scale and in the smart cities of the future, however, robots will need to be able to navigate …
Read more “A new approach to improve robot navigation in crowded environments”
A large deep learning model can take a long time to train. You lose a lot of work if the training process interrupted in the middle. But sometimes, you actually want to interrupt the training process in the middle because you know going any further would not give you a better model. In this post, …
Read more “Managing a PyTorch Training Process with Checkpoints and Early Stopping”
TL;DR It’s all 100% fake, deep deepfake, baby! Part 1 – Questions by ChatGPT (answers too) First, in part 1 (see part 2, coming soon, for the questions Bing asked) of this interview, we asked ChatGPT the following: In an interview with Elon Musk, what questions would you ask him? We also asked ChatGPT to …
Editor’s Note: In this blog post, Palantir’s Apollo & USG Tech teams pair up to describe how we deploy Palantir Apollo as the foundation of our Impact Level 6 (IL6) product offering. Building secure software requires robust delivery and management processes, with the ability to quickly detect and fix issues, discover new vulnerabilities, and deploy …
Read more “How Palantir Meets IL6 Security Requirements with Apollo”