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Amazon Bedrock AgentCore breaks context window limits for LLMs

By PulseAugur Editorial · [1 sources] ·

Amazon Bedrock has introduced AgentCore, a new capability designed to overcome the limitations of context windows in large language models. This feature enables models to process and reason over documents of virtually any length by treating the input as an external environment. It utilizes a Recursive Language Model (RLM) approach, where a root LLM agent orchestrates analysis by generating code to interact with document chunks, delegating semantic tasks to sub-LLMs, and accumulating results in persistent working memory. AI

IMPACT Enables analysis of extremely long documents, overcoming LLM context window limitations for complex tasks.

RANK_REASON Product feature launch for an existing platform.

Read on AWS Machine Learning Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Amazon Bedrock AgentCore breaks context window limits for LLMs

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COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Yuan Tian ·

    Break the context window barrier with Amazon Bedrock AgentCore

    In this post, you will learn how to implement Recursive Language Models (RLM) using Amazon Bedrock AgentCore Code Interpreter and the Strands Agents SDK. By the end, you will know how to process documents of varying lengths, with no upper bound on context size, use Bedrock AgentC…

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