29 no-cost ways to leap ahead in your cloud career this February

Take a leap into learning this February, and make the most of the extra day! We’ve created a list of 29 no-cost ways for you to leap ahead in your cloud career, so take your pick and get learning something new!  The basics of Google Cloud and generative AI for everyone to learn  1. #LearnGenerativeAI …

Exploring Dictionaries, Classifying Variables, and Imputing Data in the Ames Dataset

The real estate market is a complex ecosystem driven by numerous variables such as location, property features, market trends, and economic indicators. One dataset that offers a deep dive into this complexity is the Ames Housing dataset. Originating from Ames, Iowa, this dataset comprises various properties and their characteristics, ranging from the type of alley …

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MobileDiffusion: Rapid text-to-image generation on-device

Posted by Yang Zhao, Senior Software Engineer, and Tingbo Hou, Senior Staff Software Engineer, Core ML Text-to-image diffusion models have shown exceptional capabilities in generating high-quality images from text prompts. However, leading models feature billions of parameters and are consequently expensive to run, requiring powerful desktops or servers (e.g., Stable Diffusion, DALL·E, and Imagen). While …

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Building with Palantir AIP: Logic Tools for RAG/OAG

by Chad Wahlquist, Palantir Forward Deployed Architect Welcome to another installment of our Building with AIP series, where Palantir engineers and architects take you through how to build end-to-end workflows using our Artificial Intelligence Platform (AIP). In this video, we’re continuing our dive into Ontology Augmented Generation (OAG) — this time, with logic tools. https://medium.com/media/df5fe2ba2783b58965314492f1049332/href Refresher on RAG/OAG For …

Building an early warning system for LLM-aided biological threat creation

We’re developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a biological threat. In an evaluation involving both biology experts and students, we found that GPT-4 provides at most a mild uplift in biological threat creation accuracy. While this uplift is not large enough to be conclusive, …