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#amazon machine learning

7 posts

17 Jun

Daniel Abib 8 min read

Amazon Bedrock's new Fully Managed Knowledge Bases simplifies building enterprise RAG pipelines by providing native data connectors Smart Parsing for automatic multi-format data preparation, and an Agentic Retriever for complex multi-step queries—all integrated with AgentCore Gateway so developers can focus on business outcomes rather than infrastructure management.

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Channy Yun (윤석찬) 3 min read

AWS introduces Web Search on Amazon Bedrock AgentCore, a fully managed tool that enables agents to ground responses in current, cited web knowledge with zero data egress from customer's secured AWS environment. You can focus on building agents instead of manually adding web search to agents on Bedrock AgentCore and managing its infrastructure.

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9 Jun

5 Jun

Channy Yun (윤석찬) 3 min read

You can use the new console experience on Amazon Bedrock to browse and compare the latest AI models side by side, organize work into projects with streamlined evaluation workflows, and access project-aware live documentation with auto-prefilled code snippets ready to copy and run.

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1 Jun

14 May

Channy Yun (윤석찬) 4 min read

Amazon Bedrock Advanced Prompt Optimization enables customers to optimize their prompts for their current model or migrate prompts to new models faster than before with built-in evaluation feedback loops. Optimize your prompts and compare results for up to 5 models simultaneously.

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11 May

Channy Yun (윤석찬) 3 min read

My most exciting news of last week: Amazon Bedrock AgentCore previewed the first managed payment capabilities enabling AI agents to autonomously access and pay for APIs, MCP servers, web content, and other agents. Built in partnership with Coinbase and Stripe, it removes the undifferentiated heavy lifting of building customized systems for billing, credential management, and […]

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