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Reinforcement fine-tuning on Amazon Bedrock with OpenAI-Compatible APIs: a technical walkthrough

Reinforcement fine-tuning on Amazon Bedrock with OpenAI-Compatible APIs: a technical walkthrough

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 in Amazon Bedrock automates the end-to-end customization workflow. This allows the …

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Deploy SageMaker AI inference endpoints with set GPU capacity using training plans

Deploy SageMaker AI inference endpoints with set GPU capacity using training plans

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 specified time periods. Originally designed for training workloads, training plans now …

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Accelerating custom entity recognition with Claude tool use in Amazon Bedrock

Accelerating custom entity recognition with Claude tool use in Amazon Bedrock

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 of large language models (LLMs) to perform dynamic, adaptable entity recognition …

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How Reco transforms security alerts using Amazon Bedrock

How Reco transforms security alerts using Amazon Bedrock

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 that SOC teams struggle to quickly interpret. This implementation helps …

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Integrating Amazon Bedrock AgentCore with Slack

Integrating Amazon Bedrock AgentCore with Slack

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 threads, and managing responses that exceed Slack’s timeout limits. Developers typically …

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Overcoming LLM hallucinations in regulated industries: Artificial Genius’s deterministic models on Amazon Nova

Overcoming LLM hallucinations in regulated industries: Artificial Genius’s deterministic models on Amazon Nova

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 potential for analytics, compliance, and risk management. However, their inherent …

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Run NVIDIA Nemotron 3 Super on Amazon Bedrock

Run NVIDIA Nemotron 3 Super on Amazon Bedrock

Nemotron 3 Super is now available as a fully managed and serverless model on Amazon Bedrock, joining the Nemotron Nano models that are already available within the Amazon Bedrock environment. With NVIDIA Nemotron open models on Amazon Bedrock, you can accelerate innovation and deliver tangible business value without managing infrastructure complexities. You can power your …

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Use RAG for video generation using Amazon Bedrock and Amazon Nova Reel

Use RAG for video generation using Amazon Bedrock and Amazon Nova Reel

Generating high-quality custom videos remains a significant challenge, because video generation models are limited to their pre-trained knowledge. This limitation affects industries such as advertising, media production, education, and gaming, where customization and control of video generation is essential. To address this, we developed a Video Retrieval Augmented Generation (VRAG) multimodal pipeline that transforms structured …

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