ai/ml - Robotic Content

Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs

by AI Generated Robotic ContentFAANG July 29, 2025Comments are Disabled

Organizations need ML compute resources that can accommodate bursty peaks and periodic troughs. That means the consumption models for AI infrastructure need to evolve to be more cost-efficient, provide term flexibility, and support rapid development on the latest GPU and TPU accelerators. Calendar mode is currently available in preview as the newest feature of Dynamic …

Build an intelligent eDiscovery solution using Amazon Bedrock Agents

by AI Generated Robotic ContentFAANG July 26, 2025Comments are Disabled

Legal teams spend bulk of their time manually reviewing documents during eDiscovery. This process involves analyzing electronically stored information across emails, contracts, financial records, and collaboration systems for legal proceedings. This manual approach creates significant bottlenecks: attorneys must identify privileged communications, assess legal risks, extract contractual obligations, and maintain regulatory compliance across thousands of documents …

Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI

by AI Generated Robotic ContentFAANG July 26, 2025Comments are Disabled

Developers building with gen AI are increasingly drawn to open models for their power and flexibility. But customizing and deploying them can be a huge challenge. You’re often left wrestling with complex dependencies, managing infrastructure, and fighting for expensive GPU access. Don’t let that complexity slow you down. In this guide, we’ll walk you through …

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains

by AI Generated Robotic ContentFAANG July 25, 2025Comments are Disabled

Recent advances in large language models (LLMs) have increased the demand for comprehensive benchmarks to evaluate their capabilities as human-like agents. Existing benchmarks, while useful, often focus on specific application scenarios, emphasizing task completion but failing to dissect the underlying skills that drive these outcomes. This lack of granularity makes it difficult to deeply discern …

Boost cold-start recommendations with vLLM on AWS Trainium

by AI Generated Robotic ContentFAANG July 25, 2025Comments are Disabled

Cold start in recommendation systems goes beyond just new user or new item problems—it’s the complete absence of personalized signals at launch. When someone first arrives, or when fresh content appears, there’s no behavioral history to tell the engine what they care about, so everyone ends up in broad generic segments. That not only dampens …

New Cluster Director features: Simplified GUI, managed Slurm, advanced observability

by AI Generated Robotic ContentFAANG July 25, 2025Comments are Disabled

In April, we released Cluster Director, a unified management plane that makes deploying and managing large-scale AI infrastructure simpler and more intuitive than ever before, putting the power of an AI supercomputer at your fingertips. Today, we’re excited to release new features in preview including an intuitive interface, managed Slurm experience, and observability dashboard that …

Aeneas transforms how historians connect the past

by AI Generated Robotic ContentFAANG July 24, 2025Comments are Disabled

We’re publishing a paper in Nature introducing Aeneas, the first AI model for contextualizing ancient inscriptions.

mRAKL: Multilingual Retrieval-Augmented Knowledge Graph Construction for Low-Resourced Languages

by AI Generated Robotic ContentFAANG July 24, 2025Comments are Disabled

Knowledge Graphs represent real-world entities and the relationships between them. Multilingual Knowledge Graph Construction (mKGC) refers to the task of automatically constructing or predicting missing entities and links for knowledge graphs in a multilingual setting. In this work, we reformulate the mKGC task as a Question Answering (QA) task and introduce mRAKL: a Retrieval-Augmented Generation …

Customize Amazon Nova in Amazon SageMaker AI using Direct Preference Optimization

by AI Generated Robotic ContentFAANG July 24, 2025Comments are Disabled

At the AWS Summit in New York City, we introduced a comprehensive suite of model customization capabilities for Amazon Nova foundation models. Available as ready-to-use recipes on Amazon SageMaker AI, you can use them to adapt Nova Micro, Nova Lite, and Nova Pro across the model training lifecycle, including pre-training, supervised fine-tuning, and alignment. In this …

Gemini 2.5 Flash-Lite is now ready for scaled production use

by AI Generated Robotic ContentFAANG July 23, 2025Comments are Disabled

Gemini 2.5 Flash-Lite, previously in preview, is now stable and generally available. This cost-efficient model provides high quality in a small size, and includes 2.5 family features like a 1 million-token context window and multimodality.