faang - Robotic Content

Your agentic summer: No-cost lessons from Google experts to build and scale agents

by AI Generated Robotic ContentFAANG August 7, 2026Comments are Disabled

I’ve talked to developers, IT leaders, and builders who all ask the same question: How do we actually get agents into production? The answer isn’t theoretical — it’s hands-on. Whether it’s designing a system that allows your agents to interact with external data sources while maintaining strict security guardrails or creating self-optimizing supply chain workflows …

Taming Outlier Tokens in Diffusion Transformers

by AI Generated Robotic ContentFAANG August 6, 2026Comments are Disabled

We study outlier tokens in Diffusion Transformers (DiTs) for image generation. Prior work has shown that Vision Transformers (ViTs) can produce a small number of high-norm tokens that attract disproportionate attention while carrying limited local information, but their role in generative models remains underexplored. We show that this phenomenon appears in both the encoder and …

AI Sovereignty is Your Alpha: How to Avoid Transferring Your Alpha to a Hosted Model Provider

by AI Generated Robotic ContentFAANG August 6, 2026Comments are Disabled

Use of third party AI model services poses significant risk to your alpha. Without sovereign control over how your data is processed by those services (either the AI Labs or the Hyperscalers, collectively referred to as “Hosted Model Providers”), Hosted Model Providers may extract your alpha (your unique institutional knowledge and tradecraft embodied in data …

Modeling Device Capabilities for Analytics

by AI Generated Robotic ContentFAANG August 6, 2026Comments are Disabled

by Aarti Laddha, Richard Diaz-Cool, Rishika Idnani, Venkatesh Selveraj Netflix supports a vast and evolving set of features and content types, ranging from 4K streaming and immersive audio to live streaming and cloud gaming, across a diverse ecosystem of devices. However, not all devices are created equal. Hardware limitations such as available RAM, CPU cores, …

How LendingTree built a multi-agent mortgage assistant on Amazon Bedrock

by AI Generated Robotic ContentFAANG August 6, 2026Comments are Disabled

Buying a home is one of the biggest financial decisions most people face, and LendingTree built a multi-agent mortgage assistant on Amazon Bedrock to make the process more straightforward. The assistant educates borrowers, understands their situation, and provides tailored options in a natural conversation. Borrowers must weigh purchase or refinance, conventional or government-backed, 15-year or …

Introducing Web Search on Amazon Bedrock for foundation model grounding

by AI Generated Robotic ContentFAANG August 5, 2026Comments are Disabled

When a foundation model needs to answer a question about last week’s earnings call, yesterday’s regulatory change, or this morning’s weather forecast, it needs knowledge it was never trained on. Grounding the model in current web knowledge closes that gap – whether it’s powering chatbots, coding assistants, CLI tools, or enterprise applications, grounding helps answer …

How Deutsche Bank unlocked agility with an API-ready ecosystem

by AI Generated Robotic ContentFAANG August 5, 2026Comments are Disabled

When people think about digital transformation in banking, they often focus on the visible results: mobile apps and new digital services. But there’s an invisible infrastructure making all these services possible: APIs. At Deutsche Bank, we recognized that APIs aren’t just technical plumbing; they’re the nervous system of modern banking. A few years ago, our …

Understanding Alignment in Multimodal LLMs: A Comprehensive Study

by AI Generated Robotic ContentFAANG August 4, 2026Comments are Disabled

Preference alignment has become a crucial component in enhancing the performance of Large Language Models (LLMs), yet its impact in Multimodal Large Language Models (MLLMs) remains comparatively underexplored. Similar to language models, MLLMs for image understanding tasks encounter challenges like hallucination. In MLLMs, hallucination can occur not only by stating incorrect facts but also by …

From weeks to minutes: How Formula 1® uses agentic AI on AWS to accelerate data operations

by AI Generated Robotic ContentFAANG August 4, 2026Comments are Disabled

Formula 1® (F1) engages an audience of over 800 million fans globally across digital platforms, F1 TV, social media, ticketing, and merchandise year-round. Races happen every two weeks. Fan engagement windows are measured in minutes and commercial decisions need to move at the speed of the grid. Behind the scenes, F1’s marketing technology (MarTech) platform, Customer …

Real-world mainframe modernization with AI: A safe, scalable path from mainframe to cloud

by AI Generated Robotic ContentFAANG August 4, 2026Comments are Disabled

For too long, enterprises with legacy mainframe estates have been faced with a high-stakes dilemma: continue maintaining their mainframes, essentially kicking the modernization can down the road (they know they will need to deal with it eventually), or perform a dangerous “big bang” migration with many unknowns and risks. At Google Cloud, we propose an …