Enhancing Member Experience Through Strategic Collaboration Ozzie Sutherland, Iroro Orife, Chih-Wei Wu, Bhanu Srikanth At Netflix, delivering the best possible experience for our members is at the heart of everything we do, and we know we can’t do it alone. That’s why we work closely with a diverse ecosystem of technology partners, combining their deep expertise …
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This post is co-written with Kilian Zimmerer and Daniel Ringler from Deutsche Bahn. Every day, Deutsche Bahn (DB) moves over 6.6 million passengers across Germany, requiring precise time series forecasting for a wide range of purposes. However, building accurate forecasting models traditionally required significant expertise and weeks of development time. Today, we’re excited to explore …
In the AI era, where data fuels intelligent applications and drives business decisions, demand for accurate and consistent data insights has never been higher. However, the complexity and sheer volume of data coupled with the diversity of tools and teams can lead to misunderstandings and inaccuracies. That’s why trusted definitions managed by a semantic layer …
Read more “How Looker’s semantic layer enables trusted AI for business intelligence”
We’ve seen developers doing amazing things with Gemini 2.5 Pro, so we decided to release an updated version a couple of weeks early to get into developers hands sooner.
We investigate the theoretical foundations of classifier-free guidance (CFG). CFG is the dominant method of conditional sampling for text-to-image diffusion models, yet unlike other aspects of diffusion, it remains on shaky theoretical footing. In this paper, we disprove common misconceptions, by showing that CFG interacts differently with DDPM (Ho et al., 2020) and DDIM (Song …
Read more “Classifier-Free Guidance is a Predictor-Corrector”
With Amazon Bedrock Evaluations, you can evaluate foundation models (FMs) and Retrieval Augmented Generation (RAG) systems, whether hosted on Amazon Bedrock or another model or RAG system hosted elsewhere, including Amazon Bedrock Knowledge Bases or multi-cloud and on-premises deployments. We recently announced the general availability of the large language model (LLM)-as-a-judge technique in model evaluation …
Read more “Use custom metrics to evaluate your generative AI application with Amazon Bedrock”
Across industries, enterprises need efficient and proactive solutions. Imagine frontline professionals using voice commands and visual input to diagnose issues, access vital information, and initiate processes in real-time. The Gemini 2.0 Flash Live API empowers developers to create next-generation, agentic industry applications. This API extends these capabilities to complex industrial operations. Unlike solutions relying on …
Read more “Build live voice-driven agentic applications with Vertex AI Gemini Live API”
When’s the last time you watched a race for the braking? It’s the heart-pounding acceleration and death-defying maneuvers that keep most motorsport fans on the edge of their seats. Especially when it comes to Formula E — and really all EVs — the explosive, near-instantaneous acceleration of an electric motor is part of the appeal. …
Read more “Pushing the limits of electric mobility: Formula E’s Mountain Recharge”
The Amazon Bedrock multi-agent collaboration feature gives developers the flexibility to create and coordinate multiple AI agents, each specialized for specific tasks, to work together efficiently on complex business processes. This enables seamless handling of sophisticated workflows through agent cooperation. This post aims to demonstrate the application of multiple specialized agents within the Amazon Bedrock …
Read more “Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration”
Your customers might not all speak the same language. If you operate internationally or serve a diverse customer base, you need your chatbot to meet them where they are – whether they’re searching for something in Spanish or Japanese. If you want to give your customers multilingual support with chatbots, you’ll need to orchestrate multiple …