FAANG

TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining

This paper was accepted to the ACL 2025 main conference as an oral presentation. This paper was accepted at the…

2 months ago

Build an intelligent multi-agent business expert using Amazon Bedrock

In this post, we demonstrate how to build a multi-agent system using multi-agent collaboration in Amazon Bedrock Agents to solve…

2 months ago

How Schroders built its multi-agent financial analysis research assistant

Financial analysts spend hours grappling with ever-increasing volumes of market and company data to extract key signals, combine diverse data…

2 months ago

Gemini Robotics On-Device brings AI to local robotic devices

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

2 months ago

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

Today we are excited to introduce the Text Ranking and Question and Answer UI templates to SageMaker AI customers. The…

2 months ago

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

Box is one of the original information sharing and collaboration platforms of the digital era. They’ve helped define how we…

2 months ago

Securing America’s Defense Industrial Base

Palantir FedStart and the Path to CMMC ComplianceSecuring the Defense Industrial BaseNever has the imperative to maintain America’s technological edge…

2 months ago

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

Time series forecasting helps businesses predict future trends based on historical data patterns, whether it’s for sales projections, inventory management,…

2 months ago

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

We present STARFlow, a scalable generative model based on normalizing flows that achieves strong performance in high-resolution image synthesis. The…

2 months ago

Distillation Scaling Laws

We propose a distillation scaling law that estimates distilled model performance based on a compute budget and its allocation between…

2 months ago