Join us for an in-depth exploration of Langfuse, an open-source platform designed to streamline the development and management of large language model (LLM) applications. This session will delve into the essential role of observability in building robust and efficient AI-driven systems.

We’ll cover:

• Monitoring and Debugging: Learn how to track LLM performance metrics and uncover issues effectively.
• Optimizing Performance: Understand strategies for fine-tuning workflows and improving system efficiency.
• Reliability and Scalability: Discover how observability supports building systems that can handle real-world demands.
• Practical Implementation: Insights into integrating Langfuse into your existing development pipelines.