Retrofit, don't rebuild: Agentic overlays for transforming legacy enterprise services
In this technical collaboration between AWS and the authors, we present a pragmatic solution: agentic overlays.
Referenced Coverage & Sources
Building Agentic Workflows with SageMaker AI and Bedrock AgentCore
Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each.
Weak API Controls Are One of the Biggest Threats in the Agentic AI Era
Artificial intelligence agents are already running inside your enterprise workflows, whether you know it or not. International Data Corp. projects full agentic AI deployment across the enterprise by 2027. Gartner Inc.
Don't Want Your LLM to Recommend Nuclear Strike? Try Asking It in Japanese
Large language models are increasingly used in strategic and advisory contexts, yet their safety alignment is typically evaluated in English only.
Automate Legacy Web Applications with Amazon Bedrock AgentCore Browser Tool
Learn how to automate legacy web applications that need human-like interaction using Amazon Bedrock AgentCore Browser Tool and Strands Agents.
RAG
Retrieval-Augmented Generation (RAG) is a methodology that optimizes the output of a Large Language Model (LLM) by referencing an authoritative, external knowledge base or Vector Database before generating a response. RAG helps models access real-time information and drastically reduces hallucination.
Agentic AI
Agentic AI refers to artificial intelligence systems designed to act autonomously, make decisions, plan workflows, and execute tasks without constant human intervention. Unlike traditional models that only respond to queries, agentic systems use an agentic loop to perceive environments, reason over goals, use tools, and iterate to achieve outcomes.
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