ai/ml

Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormation

Agentic-AI has become essential for deploying production-ready AI applications, yet many developers struggle with the complexity of manually configuring agent…

7 months ago

Monitoring Google ADK agentic applications with Datadog LLM Observability

Google’s Agent Development Kit (ADK) gives you the building blocks to create powerful agentic systems. These multi-step agents can plan,…

7 months ago

D4RT: Teaching AI to see the world in four dimensions

D4RT: Unified, efficient 4D reconstruction and tracking up to 300x faster than prior methods.

7 months ago

Securing Agents in Production (Agentic Runtime, #1)

Editor’s Note: This is the first in a series exploring Palantir AIP’s Agentic Runtime — the integrated toolchain for building, deploying, and…

7 months ago

How PDI built an enterprise-grade RAG system for AI applications with AWS

PDI Technologies is a global leader in the convenience retail and petroleum wholesale industries. They help businesses around the globe…

7 months ago

Scaling WideEP Mixture-of-Experts inference with Google Cloud A4X (GB200) and NVIDIA Dynamo

As organizations transition from standard LLMs to massive Mixture-of-Experts (MoE) architectures like DeepSeek-R1, the primary constraint has shifted from raw…

7 months ago

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Diffusion large language models (dLLMs) are compelling alternatives to autoregressive (AR) models because their denoising models operate over the entire…

7 months ago

How Thomson Reuters built an Agentic Platform Engineering Hub with Amazon Bedrock AgentCore

This post was co-written with Naveen Pollamreddi and Seth Krause from Thomson Reuters. Thomson Reuters (TR) is a leading AI…

7 months ago

Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases

We are excited to announce the general availability of multimodal retrieval for Amazon Bedrock Knowledge Bases. This new capability adds…

7 months ago

ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models

Recurrent Neural Networks (RNNs) laid the foundation for sequence modeling, but their intrinsic sequential nature restricts parallel computation, creating a…

7 months ago