Tag: ML Engineer
-
Modeling Commerce Agent Decision-Making: The Multi-Objective Optimization Problem
Commerce AI agents face a complex multi-objective optimization problem balancing cost, timing, and demand uncertainty in procurement decisions.
-
Multi-Agent Negotiation Systems: Training AI for Autonomous Commerce Decisions
Agent-to-agent commerce creates novel ML challenges around negotiation strategies, multi-objective optimization, and measuring autonomous decision quality.
-
Feature Contamination in Commerce AI: A Data Science Framework for Agent Robustness
Data poisoning attacks exploit feature space vulnerabilities in commerce agents, requiring novel detection methods beyond traditional validation.
-
Feature Engineering for Agent Cost Attribution: Building Predictive Models for Commerce AI ROI
How to engineer features, train models, and evaluate agentic commerce systems where cost per transaction varies by 40x based on…
-
Training Commercial AI Agents to Self-Monitor for Factual Accuracy: A Model-Centric Approach to Hallucination Detection
How to architect AI commerce agents that self-monitor for hallucination — confidence estimation, UCP validation layers, and continuous feedback loops…
-
Cost Attribution Models for Agentic Commerce
Cost attribution models for agentic AI commerce quantify expenses across multi-step LLM inference chains—including token consumption, vector database queries, and…
-
Observability Problem for Agentic Commerce AI
Agentic commerce AI systems processing high-volume transaction workflows require observability frameworks that move beyond traditional ML metrics like precision and…
-
Training Data Distribution in Agentic Commerce Systems
Agentic commerce systems deployed on platforms including Shopify, SAP Commerce Cloud, and microservices architectures experience distribution shift when training datasets…
-
Model Inference Observability: Measuring Agent Decision Quality
Model inference observability encompasses semantic logging, latency measurement, and token-efficiency tracking for AI agents in production environments. Beyond infrastructure metrics…
-
Commerce Agents: Language Models Making Purchase Decisions
Commerce agents leverage reinforcement learning with large language models (LLMs) such as GPT-4 and Claude to execute multi-objective optimization across…