Reliability engineering for enterprise AI agents: evaluations, simulations and episodic memory скачать в хорошем качестве

Reliability engineering for enterprise AI agents: evaluations, simulations and episodic memory

Shipping AI agents in the enterprise requires more than a convincing demo. https://uipath.ly/46f0drb Featuring UiPath AI Leaders: Taqi Jaffri, VP, Product Management Scott Florentino, Director, Software Engineering In this episode, we break down the core pillars of reliability engineering for enterprise AI agents: evaluations, simulations, and episodic memory. Taqi and Scott walk through the practical systems that move agents from prototype to production. You’ll learn: What agent evaluations actually measure (context, precision, faithfulness) How deterministic evaluators compare to LLM-as-a-judge approaches Why trajectory evaluation matters beyond simple input/output testing How to simulate tool calls, escalations and failure conditions What episodic memory is — and how it differs from fine-tuning How agents improve over time using structured human feedback How to measure reliability before release If you're building AI agents that need to be auditable, measurable and production-ready, this episode focuses on the engineering discipline behind enterprise-grade deployment. (This video was recorded in November 2025) ⏱ Timestamps 00:00 Why reliability engineering matters for enterprise AI agents 00:24 What are agent evaluations? 01:14 Context, precision and faithfulness explained 02:07 Evaluation sets and LLM-as-a-judge 03:17 Generating strong evaluation data 04:24 Trajectory evaluation vs black-box testing 05:30 Simulating tool calls and failure scenarios 07:08 What is episodic memory? 08:15 Episodic memory vs fine-tuning 09:14 Learning from human feedback 10:15 Managing and inspecting agent memory 11:30 Defense-in-depth for enterprise AI reliability 12:15 Proving performance with measurable reliability scores 🚀Join our community for more updates: Academy: https://uipath.ly/462jPft Blog: https://uipath.ly/3EwSRRC LinkedIn: https://uipath.ly/44SelTOa Facebook: https://uipath.ly/45A4naF Forum: https://uipath.ly/3ReA7O3