Stable Diffusion Project: Commercial Poster

Stable Diffusion has taken the AI art world by storm, empowering users to generate stunning and imaginative visuals with just a few text prompts. This opens exciting possibilities for creatives, including crafting impactful commercial posters. In this post, we’ll delve into using Stable Diffusion to design a compelling poster for a product. After finishing this …

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Industry AI

How Palantir AIP Enables the Unified Namespace Amid geopolitical competition and the rise of Industry AI, the adoption of a Unified Namespace (UNS) is a strategic necessity. American industries — from aerospace to biotechnology — can secure a critical advantage with UNS, enabling manufacturers to leverage the full capabilities of AI and machine learning. This shift from reactive to …

The future of productivity agents with NinjaTech AI and AWS Trainium

This is a guest post by Arash Sadrieh, Tahir Azim, and Tengfui Xue from NinjaTech AI. NinjaTech AI’s mission is to make everyone more productive by taking care of time-consuming complex tasks with fast and affordable artificial intelligence (AI) agents. We recently launched MyNinja.ai, one of the world’s first multi-agent personal AI assistants, to drive …

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Making Vertex AI the most enterprise-ready generative AI platform

It’s been amazing to see the impressive things customers are doing with generative AI and agents. Less than three months ago, we shared 101 real-world gen AI use cases from the world’s leading organizations. Since then, to enable businesses to roll out compelling AI agents faster, Google DeepMind has continued to pioneer model advances, in …

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Winning the Client Communication Game with RCS in Retail

SMS remains a staple in commercial interactions, but its limitations are becoming increasingly evident, particularly for brands seeking deeper buyer engagement. This has paved the way for the meteoric rise of Google RCS Business Messaging (RBM) as a powerful and dynamic alternative. In fact, the protocol has witnessed an astounding 684% surge in usage within …

Multimodal Large Language Models with Fusion Low Rank Adaptation for Device Directed Speech Detection

Although Large Language Models (LLMs) have shown promise for human-like conversations, they are primarily pre-trained on text data. Incorporating audio or video improves performance, but collecting large-scale multimodal data and pre-training multimodal LLMs is challenging. To this end, we propose a Fusion Low Rank Adaptation (FLoRA) technique that efficiently adapts a pre-trained unimodal LLM to …

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Automate derivative confirms processing using AWS AI services for the capital markets industry

Capital markets operation teams face numerous challenges throughout the post-trade lifecycle, including delays in trade settlements, booking errors, and inaccurate regulatory reporting. For derivative trades, it’s even more challenging. The timely settlement of derivative trades is an onerous task. This is because trades involve different counterparties and there is a high degree of variation among …

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The new Tower of Babel? Using multilingual embeddings and vector search in BigQuery

In today’s globalized marketplace, finding and understanding reviews in a customer’s preferred language across multiple languages can be challenging. BigQuery is designed for managing and analyzing large datasets, including reviews. In this blog post, we present a solution that uses BigQuery multilingual embeddings, vector index and vector search, to let customers search for products or …