Artificial Intelligence
Author: Yuan Tian
Yuan Tian is an Applied Scientist at the AWS Generative AI Innovation Center, where he works with customers across diverse industries, including healthcare, life sciences, finance, and energy, to architect and implement generative AI solutions such as agentic systems. He brings a unique interdisciplinary perspective, combining expertise in machine learning with computational biology.
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 AgentCore Code Interpreter as persistent working memory for iterative document analysis, and orchestrate sub-large language model (sub-LLM) calls from within a sandboxed Python environment to analyze specific document sections.
Halliburton enhances seismic workflow creation with Amazon Bedrock and Generative AI
In this post, we’ll explore how we built a proof-of-concept that converts natural language queries into executable seismic workflows while providing a question-answering capability for Halliburton’s Seismic Engine tools and documentation. We’ll cover the technical details of the solution, share evaluation results showing workflow acceleration of up to 95%, and discuss key learnings that can help other organizations enhance their complex technical workflows with generative AI.