FAANG

Scaling Laws for Native Multimodal Models

Building general-purpose models that can effectively perceive the world through multimodal signals has been a long-standing goal. Current approaches involve…

4 months ago

Automate Amazon EKS troubleshooting using an Amazon Bedrock agentic workflow

As organizations scale their Amazon Elastic Kubernetes Service (Amazon EKS) deployments, platform administrators face increasing challenges in efficiently managing multi-tenant…

4 months ago

FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations

This paper was accepted at the Workshop on Foundation Models in the Wild at ICLR 2025. Visual understanding is inherently…

4 months ago

Clario enhances the quality of the clinical trial documentation process with Amazon Bedrock

This post is co-written with Kim Nguyen and Shyam Banuprakash from Clario. Clario is a leading provider of endpoint data…

4 months ago

Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy

At Apple, we believe privacy is a fundamental human right. And we believe in giving our users a great experience…

4 months ago

Build multi-agent systems with LangGraph and Amazon Bedrock

Large language models (LLMs) have raised the bar for human-computer interaction where the expectation from users is that they can…

4 months ago

Building an AIOps chatbot with Amazon Q Business custom plugins

Many organizations rely on multiple third-party applications and services for different aspects of their operations, such as scheduling, HR management,…

4 months ago

Next 25 developer keynote: From prompt, to agent, to work, to fun

Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all…

4 months ago

MM-Ego: Towards Building Egocentric Multimodal LLMs

This research aims to comprehensively explore building a multimodal foundation model for egocentric video understanding. To achieve this goal, we…

4 months ago

Reduce ML training costs with Amazon SageMaker HyperPod

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for…

4 months ago