FAANG - Robotic Content

Build an intelligent multi-agent business expert using Amazon Bedrock

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

In this post, we demonstrate how to build a multi-agent system using multi-agent collaboration in Amazon Bedrock Agents to solve complex business questions in the biopharmaceutical industry. We show how specialized agents in research and development (R&D), legal, and finance domains can work together to provide comprehensive business insights by analyzing data from multiple sources. …

How Schroders built its multi-agent financial analysis research assistant

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

Financial analysts spend hours grappling with ever-increasing volumes of market and company data to extract key signals, combine diverse data sources, and produce company research. Schroders is a leading global active investment manager. Being an active manager means understanding investment opportunities — combining rigorous research, innovative thinking and deep market perspective — to help build …

Gemini Robotics On-Device brings AI to local robotic devices

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

We’re introducing an efficient, on-device robotics model with general-purpose dexterity and fast task adaptation.

Power Your LLM Training and Evaluation with the New SageMaker AI Generative AI Tools

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

Today we are excited to introduce the Text Ranking and Question and Answer UI templates to SageMaker AI customers. The Text Ranking template enables human annotators to rank multiple responses from a large language model (LLM) based on custom criteria, such as relevance, clarity, or factual accuracy. This ranked feedback provides critical insights that help …

The secret to document intelligence: Box builds Enhanced Extract Agents using Google’s Agent-2-Agent framework

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

Box is one of the original information sharing and collaboration platforms of the digital era. They’ve helped define how we work, and have continued to evolve those practices alongside successive waves of new technology. One of the most exciting advances of the generative AI era is that now, with all the data that Box users …

Securing America’s Defense Industrial Base

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

Palantir FedStart and the Path to CMMC Compliance Securing the Defense Industrial Base Never has the imperative to maintain America’s technological edge been more pressing as technology rapidly evolves and our adversaries seek to gain ground. At the heart of America’s might is the Defense Industrial Base (DIB), a coalition of more than 220,000 companies …

No-code data preparation for time series forecasting using Amazon SageMaker Canvas

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

Time series forecasting helps businesses predict future trends based on historical data patterns, whether it’s for sales projections, inventory management, or demand forecasting. Traditional approaches require extensive knowledge of statistical methods and data science methods to process raw time series data. Amazon SageMaker Canvas offers no-code solutions that simplify data wrangling, making time series forecasting …

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

by AI Generated Robotic ContentFAANG June 22, 2025Comments are Disabled

We present STARFlow, a scalable generative model based on normalizing flows that achieves strong performance in high-resolution image synthesis. The core of STARFlow is Transformer Autoregressive Flow (TARFlow), which combines the expressive power of normalizing flows with the structured modeling capabilities of Autoregressive Transformers. We first establish the theoretical universality of TARFlow for modeling continuous …

Distillation Scaling Laws

by AI Generated Robotic ContentFAANG June 21, 2025Comments are Disabled

We propose a distillation scaling law that estimates distilled model performance based on a compute budget and its allocation between the student and teacher. Our findings mitigate the risks associated with large-scale distillation by enabling compute-optimal allocation for both the teacher and student to maximize student performance. We provide compute-optimal distillation recipes for two key …

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Variational Rectified Flow Matching

by AI Generated Robotic ContentFAANG June 20, 2025Comments are Disabled

We study Variational Rectified Flow Matching, a framework that enhances classic rectified flow matching by modeling multi-modal velocity vector-fields. At inference time, classic rectified flow matching ‘moves’ samples from a source distribution to the target distribution by solving an ordinary differential equation via integration along a velocity vector-field. At training time, the velocity vector-field is …