faang - Robotic Content

How to use gen AI for better data schema handling, data quality, and data generation

by AI Generated Robotic ContentFAANG February 19, 2025Comments are Disabled

In the realm of data engineering, generative AI models are quietly revolutionizing how we handle, process, and ultimately utilize data. For example, large language models (LLMs) can help with data schema handling, data quality, and even data generation. Building upon the recently released Gemini in BigQuery Data preparation capabilities, this blog showcases areas where gen …

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Using Amazon Rekognition to improve bicycle safety

by AI Generated Robotic ContentFAANG February 18, 2025Comments are Disabled

Cycling is a fun way to stay fit, enjoy nature, and connect with friends and acquaintances. However, riding is becoming increasingly dangerous, especially in situations where cyclists and cars share the road. According to the NHTSA, in the United States an average of 883 people on bicycles are killed in traffic crashes, with an average …

Transfer Learning in Scalable Graph Neural Network for Improved Physical Simulation

by AI Generated Robotic ContentFAANG February 15, 2025Comments are Disabled

In recent years, graph neural network (GNN) based models showed promising results in simulating complex physical systems. However, training dedicated graph network simulator can be costly, as most models are confined to fully supervised training. Extensive data generated from traditional simulators is required to train the model. It remained unexplored how transfer learning could be …

Introducing Impressions at Netflix

by AI Generated Robotic ContentFAANG February 15, 2025Comments are Disabled

Part 1: Creating the Source of Truth for Impressions By: Tulika Bhatt Imagine scrolling through Netflix, where each movie poster or promotional banner competes for your attention. Every image you hover over isn’t just a visual placeholder; it’s a critical data point that fuels our sophisticated personalization engine. At Netflix, we call these images ‘impressions,’ and …

With MultiKueue, grab GPUs for your GKE cluster, wherever they may be

by AI Generated Robotic ContentFAANG February 15, 2025Comments are Disabled

Artificial Intelligence (AI) and large language models (LLMs) are experiencing explosive growth, powering applications from machine translation to artistic creation. These technologies rely on intensive computations that require specialized hardware resources, like GPUs. But access to GPUs can be challenging, both in terms of availability and cost. For Google Cloud users, the introduction of Dynamic …

ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning

by AI Generated Robotic ContentFAANG February 14, 2025Comments are Disabled

Humanoid robots have significant gaps in their sensing and perception, making it hard to perform motion planning in dense environments. To address this, we introduce ARMOR, a novel egocentric perception system that integrates both hardware and software, specifically incorporating wearable-like depth sensors for humanoid robots. Our distributed perception approach enhances the robot’s spatial awareness, and …

Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

by AI Generated Robotic ContentFAANG February 14, 2025Comments are Disabled

AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. We are seeing Amazon Bedrock Agents applied in investment research, insurance claims processing, root cause analysis, advertising campaigns, and much more. Agents use the reasoning capability of foundation models (FMs) to break down …

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Operationalizing generative AI apps with Apigee

by AI Generated Robotic ContentFAANG February 14, 2025Comments are Disabled

Generative AI is now well beyond the hype and into the realm of practical application. But while organizations are eager to build enterprise-ready gen AI solutions on top of large language models (LLMs), they face challenges in managing, securing, and scaling these deployments, especially when it comes to APIs. As part of the platform team, …

Findings of the IWSLT 2024 Evaluation Campaign

by AI Generated Robotic ContentFAANG February 13, 2025Comments are Disabled

Ibrahim Said Ahmad†, Antonios Anastasopoulos††††, Ondřej Bojar¶, Claudia Borg††, Marine Carpuat‡, Roldano Cattoni§, Mauro Cettolo§, William Chen‡‡, Qianqian Dong¶¶, Marcello Federico§§, Barry Haddow‡‡‡, Dávid Javorsky¶, Mateusz Krubiński¶, Tsz Kin Lam‡‡‡, Xutai Ma‡‡§, Prashant Mathur§§, Evgeny Matusov¶¶¶, Chandresh Kumar Maurya¶¶†, John P. McCrae†††, Kenton Murray†††, Satoshi Nakamura§§§, Matteo Negri§, Jan Niehues††¶, Xing Niu§§, Atul Kr. Ojha†††, …

Fine-tune LLMs with synthetic data for context-based Q&A using Amazon Bedrock

by AI Generated Robotic ContentFAANG February 13, 2025Comments are Disabled

There’s a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large language models (LLMs) through approaches like Retrieval Augmented Generation (RAG). However, for advanced, domain-specific tasks or those requiring specific formats, model customization techniques such as fine-tuning are sometimes necessary. Amazon Bedrock provides you with the …