dpg architecture

How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

This post was co-written with Lucas Desard, Tom Lauwers, and Sam Landuydt from DPG Media. DPG Media is a leading media company in Benelux operating multiple online platforms and TV channels. DPG Media’s VTM GO platform alone offers over 500 days of non-stop content. With a growing library of long-form video content, DPG Media recognizes …

Beyond the basics: Build real-world gen AI skills with the latest learning paths from Google Cloud

The majority of organizations don’t feel ready for the AI era. In fact, 62% say they don’t have the expertise they need to unlock AI’s full potential.1 As the leader of learning for Google Cloud, the only thing that surprises me about that number is how low it is. I meet with customers every day, …

CAMPHOR: Collaborative Agents for Multi-Input Planning and High-Order Reasoning On Device

While server-side Large Language Models (LLMs) demonstrate proficiency in tool integration and complex reasoning, deploying Small Language Models (SLMs) directly on devices brings opportunities to improve latency and privacy but also introduces unique challenges for accuracy and memory. We introduce CAMPHOR, an innovative on-device SLM multi-agent framework designed to handle multiple user inputs and reason …

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Accelerate migration portfolio assessment using Amazon Bedrock

Conducting assessments on application portfolios that need to be migrated to the cloud can be a lengthy endeavor. Despite the existence of AWS Application Discovery Service or the presence of some form of configuration management database (CMDB), customers still face many challenges. These include time taken for follow-up discussions with application teams to review outputs …

Founders share five takeaways from the Google Cloud Startup Summit

We recently hosted our annual Google Cloud Startup Summit, and we were thrilled to showcase a wide range of AI startups leveraging Google Cloud, including Higgsfield AI, Click Therapeutics, Baseten, LiveX AI, Reve AI, and Vellum. As a former co-founder and venture capitalist, I was inspired by the remarkable solutions these startups are developing and …

Progressive Entropic Optimal Transport Solvers

Optimal transport (OT) has profoundly impacted machine learning by providing theoretical and computational tools to realign datasets. In this context, given two large point clouds of sizes nnn and mmm in Rdmathbb{R}^dRd, entropic OT (EOT) solvers have emerged as the most reliable tool to either solve the Kantorovich problem and output a n×mntimes mn×m coupling …

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The Future of Drone Navigation

Introducing Palantir’s Visual Navigation (VNav) In the modern battlefield, GPS cannot be relied upon. This was starkly demonstrated when, as reported by The Wall Street Journal, “Ukrainian officials have found U.S.-made drones fragile and unable to overcome Russian jamming and GPS blackout technology.” GPS signals are susceptible to jamming, spoofing, or complete denial in certain …

Investigation of a Workbench UI Latency Issue

By: Hechao Li and Marcelo Mayworm With special thanks to our stunning colleagues Amer Ather, Itay Dafna, Luca Pozzi, Matheus Leão, and Ye Ji. Overview At Netflix, the Analytics and Developer Experience organization, part of the Data Platform, offers a product called Workbench. Workbench is a remote development workspace based on Titus that allows data practitioners to …

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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. For many of these use cases, businesses are building Retrieval Augmented Generation (RAG) style chat-based assistants, where a powerful LLM can reference company-specific documents to answer …

Fine-tuning Gemma, the journey from beginning to end

Chatbots are one of the more common, early use cases for generative AI, particularly in retail organizations. To make them useful for shoppers, a chatbot needs to be contextually sensitive to a retailer’s product catalog, with the ability to respond to customer inquiries conversationally, perhaps suggesting alternatives and complementary outfits. To accomplish this, an instruction-tuned …