Researchers develop algorithm that crunches eye-movement data of screen users
Window to the soul? Maybe, but the eyes are also a flashing neon sign for a new artificial intelligence-based system that can read them to predict what you’ll do next.
Made a Chrome Extension to remix any image on the web with IPAdapter – having a blast with this
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How To Prepare Your Marketing Team for the Paradigm Shift in Non-Organic Blog Traffic
Search engine changes are shaking up non-organic traffic. Find out how to get your team ready for them.
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 …
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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, …
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Why DDI solutions aren’t always ideal for authoritative DNS
The distinction between “internal” and “external” networks has always been somewhat false. Clients are accustomed to thinking about firewalls as the barrier between network elements we expose to the internet and back-end systems that are only accessible to insiders. Yet as the delivery mechanisms for applications, websites and content become more decentralized, that barrier is …
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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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Getting started with Amazon Titan Text Embeddings
Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Text embedding refers to the process of transforming text into numerical representations that reside in a high-dimensional vector space. This technique is achieved through the use of ML algorithms that enable the understanding of the meaning and context of data (semantic …
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