4 papers
A Context Engineering Framework for Improving Enterprise AI Agents based on Digital-Twin MDP
Xi Yang, Aurelie Lozano, Naoki Abe +6
Despite rapid progress in AI agents for enterprise automation and decision-making, their real-world deployment and further performance gains remain constrained by limited data qual…
Think Locally, Explain Globally: Graph-Guided LLM Investigations via Local Reasoning and Belief Propagation
Saurabh Jha, Rohan Arora, Bhavya +7
LLM agents excel when environments are mostly static and the needed information fits in a model's context window, but they often fail in open-ended investigations where explanation…
Causal AI-based Root Cause Identification: Research to Practice at Scale
Saurabh Jha, Ameet Rahane, Laura Shwartz +6
Modern applications are built as large, distributed systems spanning numerous modules, teams, and data centers. Despite robust engineering and recovery strategies, failures and per…
Hierarchical Autoscaling for Large Language Model Serving with Chiron
Archit Patke, Dhemath Reddy, Saurabh Jha +3
Large language model (LLM) serving is becoming an increasingly important workload for cloud providers. Based on performance SLO requirements, LLM inference requests can be divided…