​ Google DeepMind’s researchers have developed SODA, an AI model that addresses the problem of encoding images into efficient latent representations. With SODA, seamless transitions between images and semantic attributes are made possible, allowing for interpolation and morphing across various image categories. Diffusion models have… Read More »Google DeepMind Research Introduced SODA: A Self-Supervised Diffusion Model Designed for Representation Learning Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ In today’s time, the need to store enormous amounts of data in various frequently unrelated categories underlines the vital significance of highly efficient databases. A database is a collection of data that has been carefully arranged, structured, and stored to enable quick access, manipulation,… Read More »A Deep Dive Into Relational Databases And Their Applications Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​Posted by Hidayet Aksu, Software Engineer, Google, and Adam Sealfon, Research Scientist, Google Research In recent years, the Privacy Sandbox initiative was launched to explore responsible ways for advertisers to measure the effectiveness of their campaigns, by aiming to deprecate third-party cookies (subject to resolving… Read More »Summary report optimization in the Privacy Sandbox Attribution Reporting API Google AI Google AI Blog

​ GPUs have been called the rare Earth metals — even the gold — of artificial intelligence, because they’re foundational for today’s generative AI era. Three technical reasons, and many stories, explain why that’s so. Each reason has multiple facets well worth exploring, but at… Read More »Why GPUs Are Great for AI Rick Merritt – Archives Page 1 | NVIDIA Blog

​ This is a guest post co-authored by Nafi Ahmet Turgut, Hasan Burak Yel, and Damla Şentürk from Getir. Established in 2015, Getir has positioned itself as the trailblazer in the sphere of ultrafast grocery delivery. This innovative tech company has revolutionized the last-mile delivery… Read More »How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch Nafi Ahmet Turgut AWS Machine Learning Blog

​ Home Table of Contents ML Days in Tashkent — Day 1: City Tour Arriving at Tashkent! City Tour Memorial to the Victims of Repression Barak Khan Madrasa Minor Mosque Chorsu Bazaar Metro Ride Back to the Hotel Generating Images with Stable Diffusion Summary A… Read More »ML Days in Tashkent — Day 1: City Tour Aritra Roy Gosthipaty and Ritwik Raha PyImageSearch

​ Natural picture production is now on par with professional photography, thanks to a notable recent improvement in quality. This advancement is attributable to creating technologies like DALL·E3, SDXL, and Imagen. Key elements driving these developments are using the potent Large Language Model (LLM) as… Read More »Researchers from Peking University and Microsoft Introduce COLE: An Effective Hierarchical Generation Framework that can Convert a Simple Intention Prompt into a High-Quality Graphic Design Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Microsoft researchers address the challenge of improving GPT-4’s ability to answer medical questions without domain-specific training. They introduce Medprompt, which employs different prompting strategies to enhance GPT-4’s performance. The goal is to achieve state-of-the-art results on all nine benchmarks in the MultiMedQA suite. This… Read More »This AI Research Case Study from Microsoft Reveals How Medprompt Enhances GPT-4’s Specialist Capabilities in Medicine and Beyond Without Domain-Specific Training Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) are artificial intelligence models for natural language processing tasks. These models are trained on massive datasets and can understand and generate human-like text. They have transformed natural language processing with their ability to understand and develop human-like text. The utility… Read More »UC Berkeley Researchers Introduce Starling-7B: An Open Large Language Model (LLM) Trained by Reinforcement Learning from AI Feedback (RLAIF) Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ New features and improvements in automatic voice translation have made it possible to accomplish much more, cover more languages, and work with more input formats. However, crucial capabilities that make machine-mediated communication feel natural compared to human-to-human conversation are currently missing from large-scale automated… Read More »Meta AI Introduces Seamless: A Publicly Available AI System that Unlocks Expressive Cross-Lingual Communication in Real-Time Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost