Spans and Traces for LLM Observability

  October 17th & 24th, 2023

  9:00am PT


Join us, October 17th and October 24th for this free, 2-part, virtual workshop where participants will have hands-on experience in understanding span types and how to view traces from a LLM callback system.

In Part 1 of this workshop, we will discuss different span-kinds, as well as how to dissect a trace from a LLM orchestration framework. In Part 2, we will dive into a code-along Google Colab notebook to tackle troubleshooting several types of spans that can be used in a variety of language use cases. Attendees will walk away with the ability to implement LLM observability for their LLM application.

Key Objectives:

  • Deep-dive into LLM observability tracers including span types for embeddings, agents, LLMs and retrievers.

  • Analyze traces and spans from LLM callback systems.

  • Gain hands-on experience for how to leverage open source tools like Phoenix, LlamaIndex and LangChain for LLM application building and maintenance.

Ideal for LLM developers, data scientists, ML engineers, and NLP enthusiasts. Join us for this deep dive into LLMOps and take your understanding of LLM observability inferencing to the next level!

Register for the series


Amber Roberts
Machine Learning Engineer

Amber Roberts is an astrophysicist and machine learning engineer who was previously the Head of AI at Insight Data Science. Since then she has been at Splunk in their ML Product Org to build out ML feature solutions as a ML Product Manager. She now joins us at Arize as a ML Sales Engineer looking to help teams across industries build ML Observability into their productionalized AI environments.

Get ML observability in minutes.

Get Started