In December 2025, we announced the availability of Reinforcement fine-tuning (RFT) on Amazon Bedrock starting with support for Nova models. This was followed by extended support for Open weight models such as OpenAI GPT OSS 20B and Qwen 3 32B in February 2026. RFT...
Deploying large language models (LLMs) for inference requires reliable GPU capacity, especially during critical evaluation periods, limited-duration production testing, or burst workloads. Capacity constraints can delay deployments and impact application performance. Customers can use Amazon SageMaker AI training plans to reserve compute capacity for...
Businesses across industries face a common challenge: how to efficiently extract valuable information from vast amounts of unstructured data. Traditional approaches often involve resource-intensive processes and inflexible models. This post introduces a game-changing solution: Claude Tool use in Amazon Bedrock which uses the power...
This post is cowritten by Paul Burchard and Igor Halperin from Artificial Genius.
The proliferation of large language models (LLMs) presents a significant paradox for highly regulated industries like financial services and healthcare. The ability of these models to process complex, unstructured information offers transformative...
Integrating Amazon Bedrock AgentCore with Slack brings AI agents directly into your workspace. Your teams can interact with agents without jumping between applications, losing conversation history, or re-authenticating. The integration handles three technical requirements: validating Slack event requests for security, maintaining conversation context across...
This post is cowritten by Tal Shapira and Tamir Friedman from Reco.
Reco helps organizations strengthen the security of their software as a service (SaaS) applications and accelerate business without compromise. Using Anthropic Claude in Amazon Bedrock, Reco tackles the challenge of machine-readable security alerts...
