faang

Training Software Engineering Agents and Verifiers with SWE-Gym

We present SWE-Gym, the first environment for training real-world software engineering (SWE) agents. SWE-Gym contains 2,438 real-world Python task instances,…

10 months ago

Iterative fine-tuning on Amazon Bedrock for strategic model improvement

Organizations often face challenges when implementing single-shot fine-tuning approaches for their generative AI models. The single-shot fine-tuning method involves selecting…

10 months ago

Announcing prompt management in the Vertex AI SDK

As generative AI applications grow in sophistication, development workflows become more fragmented. Although AI can be a force multiplier, teams…

10 months ago

Introducing Veo 3.1 and advanced creative capabilities

We’re rolling out significant updates to Veo that give people even more creative control.

10 months ago

Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent Orchestration

We present an approach to software testing automation using Agentic Retrieval-Augmented Generation (RAG) systems for Quality Engineering (QE) artifact creation.…

10 months ago

Transforming enterprise operations: Four high-impact use cases with Amazon Nova

Since the launch of Amazon Nova at AWS re:Invent 2024, we have seen adoption trends across industries, with notable gains…

10 months ago

The ultimate prompting guide for Veo 3.1

If a picture is worth a thousand words, a video is worth a million.  For creators, generative video holds the…

10 months ago

Build a device management agent with Amazon Bedrock AgentCore

The proliferation of Internet of Things (IoT) devices has transformed how we interact with our environments, from homes to industrial…

10 months ago

How AI can scale customer experience — online and IRL

Customer service teams at fast-growing companies face a challenging reality: customer inquiries are growing exponentially, but scaling human teams at…

10 months ago

FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models

Autoregressive language models (ARMs) deliver strong likelihoods, but are inherently serial: they generate one token per forward pass, which limits…

10 months ago