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Use Gemini 2.0 to speed up document extraction and lower costs

A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which makes it easier to do a lot of things – from image generation to creative writing. It’s also changed how …

Novel View Synthesis with Pixel-Space Diffusion Models

Synthesizing a novel view from a single input image is a challenging task. Traditionally, this task was approached by estimating scene depth, warping, and inpainting, with machine learning models enabling parts of the pipeline. More recently, generative models are being increasingly employed in novel view synthesis (NVS), often encompassing the entire end-to-end system. In this …

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Streamline work insights with the Amazon Q Business connector for Smartsheet

Amazon Q Business is a fully managed, generative AI–powered assistant that empowers enterprises to unlock the full potential of their data and organizational knowledge. With Amazon Q Business, you can quickly access answers to questions, generate summaries and content, and complete tasks by using the expertise and information stored across various data sources and enterprise …

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Evaluate gen AI models with Vertex AI evaluation service and LLM comparator

It’s a persistent question: How do you know which generative AI model is the best choice for your needs? It all comes down to smart evaluation. In this post, we’ll share how to perform pairwise model evaluations – a way of comparing two models directly against each other – using Vertex AI evaluation service and …

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Evaluate healthcare generative AI applications using LLM-as-a-judge on AWS

In our previous blog posts, we explored various techniques such as fine-tuning large language models (LLMs), prompt engineering, and Retrieval Augmented Generation (RAG) using Amazon Bedrock to generate impressions from the findings section in radiology reports using generative AI. Part 1 focused on model fine-tuning. Part 2 introduced RAG, which combines LLMs with external knowledge …

Demonstrating the AI-driven telecom at Mobile World Congress

Telecoms, like all businesses, are wondering how AI can transform their businesses. And there’s no better way to display how to build the AI-driven telecom than with demos. Join us at Mobile World Congress 2025, March 3-6 in Barcelona Hall 2 Booth #2H40, where we’ll be highlighting key agent use cases where AI is becoming …

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How Pattern PXM’s Content Brief is driving conversion on ecommerce marketplaces using AI

Brands today are juggling a million things, and keeping product content up-to-date is at the top of the list. Between decoding the endless requirements of different marketplaces, wrangling inventory across channels, adjusting product listings to catch a customer’s eye, and trying to outpace shifting trends and fierce competition, it’s a lot. And let’s face it—staying …

MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs

We introduce MIA-Bench, a new benchmark designed to evaluate multimodal large language models (MLLMs) on their ability to strictly adhere to complex instructions. Our benchmark comprises a diverse set of 400 image-prompt pairs, each crafted to challenge the models’ compliance with layered instructions in generating accurate responses that satisfy specific requested patterns. Evaluation results from …

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Empowering the Warfighter: Palantir’s Partnership with Microsoft

Promoting Army readiness through seamless coordination between Palantir-powered Army Vantage platform and Microsoft Power BI Better Together As the Department of Defense (DoD) increasingly relies on software and data to drive mission readiness and operations, the need for cutting-edge, interoperable technology solutions has never been more critical. Data interoperability should be the cornerstone for informed decision-making …