Artificial Intelligence

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How Amazon Bedrock powers next-generation account planning at AWS

Amazon Bedrock, Artificial Intelligence, Technical How-to /

At AWS, our sales teams create customer-focused documents called account plans to deeply understand each AWS customer’s unique goals and challenges, helping account teams provide tailored guidance and support that accelerates customer success on AWS. As our business has expanded, the account planning process has become more intricate, requiring detailed analysis, reviews, and cross-team alignment […]

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GPT OSS models from OpenAI are now available on SageMaker JumpStart

Amazon SageMaker, Amazon SageMaker JumpStart, Announcements, Artificial Intelligence /

Today, we are excited to announce the availability of Open AI’s new open weight GPT OSS models, gpt-oss-120b and gpt-oss-20b, from OpenAI in Amazon SageMaker JumpStart. With this launch, you can now deploy OpenAI’s newest reasoning models to build, experiment, and responsibly scale your generative AI ideas on AWS. In this post, we demonstrate how

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AI judging AI: Scaling unstructured text analysis with Amazon Nova

Amazon Bedrock, Amazon Nova, Artificial Intelligence, Technical How-to /

Picture this: Your team just received 10,000 customer feedback responses. The traditional approach? Weeks of manual analysis. But what if AI could not only analyze this feedback but also validate its own work? Welcome to the world of large language model (LLM) jury systems deployed using Amazon Bedrock. As more organizations embrace generative AI, particularly

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Introducing Amazon Bedrock AgentCore Browser Tool

Amazon Bedrock, Amazon Machine Learning, Announcements, Artificial Intelligence /

At AWS Summit New York City 2025, Amazon Web Services (AWS) announced the preview of Amazon Bedrock AgentCore browser tool, a fully managed, pre-built cloud-based browser. This tool enables generative AI agents to interact seamlessly with websites. It addresses two fundamental limitations: first, foundation models (FMs) are trained on large but static datasets and need

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Introducing the Amazon Bedrock AgentCore Code Interpreter

Amazon Bedrock, Amazon Machine Learning, Announcements, Artificial Intelligence /

AI agents have reached a critical inflection point where their ability to generate sophisticated code exceeds the capacity to execute it safely in production environments. Organizations deploying agentic AI face a fundamental dilemma: although large language models (LLMs) can produce complex code scripts, mathematical analyses, and data visualizations, executing this AI-generated code introduces significant security

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Structured outputs with Amazon Nova: A guide for builders

AI/ML, Amazon Bedrock, Amazon Nova, Artificial Intelligence, Best Practices, Generative AI, Technical How-to /

Developers building AI applications face a common challenge: converting unstructured data into structured formats. Structured output is critical for machine-to-machine communication use cases, because this enables downstream use cases to more effectively consume and process the generated outputs. Whether it’s extracting information from documents, creating assistants that fetch data from APIs, or developing agents that

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Amazon Strands Agents SDK: A technical deep dive into agent architectures and observability

Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, Artificial Intelligence, Generative AI, open source /

The Amazon Strands Agents SDK is an open source framework for building AI agents that emphasizes a model-driven approach. Instead of hardcoding complex task flows, Strands uses the reasoning abilities of modern large language models (LLMs) to handle planning and tool usage autonomously. Developers can create an agent with a prompt (defining the agent’s role

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Streamline GitHub workflows with generative AI using Amazon Bedrock and MCP

Advanced (300), AI/ML, Amazon Bedrock, Artificial Intelligence, Generative AI, How-To /

Customers are increasingly looking to use the power of large language models (LLMs) to solve real-world problems. However, bridging the gap between these LLMs and practical applications has been a challenge. AI agents have appeared as an innovative technology that bridges this gap. The foundation models (FMs) available through Amazon Bedrock serve as the cognitive

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Generate suspicious transaction report drafts for financial compliance using generative AI

Advanced (300), Amazon Bedrock, Amazon Bedrock Agents, Artificial Intelligence, Generative AI, Technical How-to /

Financial regulations and compliance are constantly changing, and automation of compliance reporting has emerged as a game changer in the financial industry. Amazon Web Services (AWS) generative AI solutions offer a seamless and efficient approach to automate this reporting process. The integration of AWS generative AI into the compliance framework not only enhances efficiency but

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Fine-tune and deploy Meta Llama 3.2 Vision for generative AI-powered web automation using AWS DLCs, Amazon EKS, and Amazon Bedrock

Amazon Bedrock, Amazon Elastic Kubernetes Service, Artificial Intelligence, Generative AI, Intermediate (200) /

Fine-tuning of large language models (LLMs) has emerged as a crucial technique for organizations seeking to adapt powerful foundation models (FMs) to their specific needs. Rather than training models from scratch—a process that can cost millions of dollars and require extensive computational resources—companies can customize existing models with domain-specific data at a fraction of the

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