Image editing in Gemini just got a major upgrade
Transform images in amazing new ways with updated native image editing in the Gemini app.
Learn how Amazon Health Services improved discovery in Amazon search using AWS ML and gen AI
Healthcare discovery on ecommerce domains presents unique challenges that traditional product search wasn’t designed to handle. Unlike searching for books or electronics, healthcare queries involve complex relationships between symptoms, conditions, treatments, and services, requiring sophisticated understanding of medical terminology and customer intent. This challenge became particularly relevant for Amazon as we expanded beyond traditional ecommerce …
Building next-gen visuals with Gemini 2.5 Flash Image on Vertex AI
Today, we announced native image generation and editing in Gemini 2.5 Flash to deliver higher-quality images and more powerful creative control. Gemini 2.5 Flash Image is State of the Art (SOTA) for both generation and image editing. For creative use cases, this means you can create richer, more dynamic visuals and edit images until they’re …
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SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding
We introduce SlowFast-LLaVA-1.5 (abbreviated as SF-LLaVA-1.5), a family of video large language models (LLMs) offering a token-efficient solution for long-form video understanding. We incorporate the two-stream SlowFast mechanism into a streamlined training pipeline, and perform joint video-image training on a carefully curated data mixture of only publicly available datasets. Our primary focus is on highly …
Enhance Geospatial Analysis and GIS Workflows with Amazon Bedrock Capabilities
As data becomes more abundant and information systems grow in complexity, stakeholders need solutions that reveal quality insights. Applying emerging technologies to the geospatial domain offers a unique opportunity to create transformative user experiences and intuitive workstreams for users and organizations to deliver on their missions and responsibilities. In this post, we explore how you …
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Don’t just speculate, investigate! Gemini Cloud Assist now offers root-cause analysis
Debugging in a complex, distributed cloud environment can feel like searching for a needle in a haystack. The sheer volume of data, intertwined dependencies, and ephemeral issues make traditional troubleshooting methods time-consuming and often reactive. Just as modern software development demands more context for effective debugging, so too does cloud operations. Gemini Cloud Assist, a …
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The “Super Weight:” How Even a Single Parameter can Determine a Large Language Model’s Behavior
A recent paper from Apple researchers, “The Super Weight in Large Language Models,” reveals that an extremely small subset of parameters in LLMs (in some cases, a single parameter) can exert a disproportionate influence on an LLM’s overall functionality (see Figure 1). This work highlights the critical role of these “super weights” and their corresponding …
About Palantir
Answers to Frequently Asked Questions About Palantir We have received many questions about Palantir. Given the high interest in our company, we collected the questions we receive most often and use this blog post to answer them. What does Palantir do? Palantir Technologies is a software company that provides data operations and AI infrastructure platforms as well as …
From Facts & Metrics to Media Machine Learning: Evolving the Data Engineering Function at Netflix
By Dao Mi, Pablo Delgado, Ryan Berti, Amanuel Kahsay, Obi-Ike Nwoke, Christopher Thrailkill, and Patricio Garza At Netflix, data engineering has always been a critical function to enable the business’s ability to understand content, power recommendations, and drive business decisions. Traditionally, the function centered on building robust tables and pipelines to capture facts, derive metrics, and …
Fine-tune OpenAI GPT-OSS models using Amazon SageMaker HyperPod recipes
This post is the second part of the GPT-OSS series focusing on model customization with Amazon SageMaker AI. In Part 1, we demonstrated fine-tuning GPT-OSS models using open source Hugging Face libraries with SageMaker training jobs, which supports distributed multi-GPU and multi-node configurations, so you can spin up high-performance clusters on demand. In this post, …
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