Overview
Curriculum
In this module, you will explore techniques for monitoring and managing LLMs, focusing on observability, performance metrics, and implementing guardrails for safe and ethical AI. Using the Phoenix framework in hands-on exercises, you’ll evaluate systems and gain insights. By the end, you’ll be ready to optimize LLMs for real-world applications.
What you'll learn
- Identify the key components and pillars of observability in LLMs to establish a foundational understanding.
- Analyze various guardrail strategies and frameworks used to ensure the reliability and safety of LLMs in diverse applications.
- Evaluate the effectiveness of different observability tools by comparing their features and use cases within the context of LLM deployments.
- Use the Phoenix framework in hands-on exercises to evaluate and gain insights into LLM systems.
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