Name: 🤖 Agentic AI for Engineers - How to build and maintain LLM as a Judge🧑⚖️
Start: 2025-11-21T12:00:00+01:00
End: 2025-11-21T13:00:00+01:00

Large Language Models are increasingly used to **evaluate**, **score**, and **audit** the outputs of other AI systems, from code generation to customer interactions and risk assessments. But how can you actually design and maintain an **LLM-as-a-Judge** system that is **trustworthy**, **scalable**, and **aligned with your business goals**?

In this **60-minute online interactive webinar**, we’ll explore the **architectural patterns, governance frameworks, and operational practices** that enable LLMs to act as reliable evaluators across domains.

You’ll learn:
🧩 **Core Concepts of LLM-as-a-Judge**
How evaluators differ from chatbots, copilots, and agents, and what makes them essential for assessing model quality and compliance.

🏗️ **Design & Architecture Patterns**
Key patterns for prompt evaluation, reasoning calibration, rubric-based scoring, multi-model arbitration, and continuous feedback loops.

⚙️ **Tools & Infrastructure**
Open-source and cloud solutions for evaluator orchestration, logging, monitoring, and performance tracking.

📏 **Governance & Maintenance**
Best practices for bias mitigation, rubric evolution, drift detection, and maintaining long-term consistency.

🏢 **Real-World Use Cases**
Examples from companies that use “AI judges” to review code, summarize documents, evaluate customer interactions, or enforce compliance.

🎯 **Who should attend?**

* AI/ML engineers and data scientists designing LLM evaluation systems
* Solution architects and MLOps professionals deploying LLM pipelines
* Compliance and model governance leads ensuring fairness and auditability
* Anyone curious about how “AI judges” are redefining quality assurance in AI

By the end of this session, you’ll know **how to build**, **govern**, and **evolve** an LLM-as-a-Judge framework, and how to apply it to your own AI evaluation workflows.

📅 **Duration:** 60 minutes

🔗 **URL:** https://events.teams.microsoft.com/event/4bb20580-cffe-4322-80d3-dfebab4062ce@d94ea0cb-fd25-43ad-bf69-8d9e42e4d175

Adrien Philippe

Berlin AI Engineering Group by m|rig

Technology

Python

Google

English

Data Science

Software Development

Microsoft Azure

Artificial Intelligence

Machine Learning

Big Data

🤖 Agentic AI for Engineers - How to build and maintain LLM as a Judge🧑‍⚖️

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Berlin AI Engineering Group by m|rig

🤖 Agentic AI for Engineers - How to build and maintain LLM as a Judge🧑‍⚖️

Berlin AI Engineering Group by m|rig

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