AI Observability for LLMs | Cam Young - Arize
Join this fireside chat as we speak with Cam Young, a Senior Solutions Architect at Arize about AI Observability for LLMs. We'll talk about ML monitoring, evaluation, and guardrails with large language models in mind.
RSVP to attend live, ask questions, connect with the community, and get the recording.
Check out Arize's open source open-source AI observability platform: github.com/Arize-ai/phoenix
Learn More About the Guest and Arize
Cam Young is a Senior Solutions Architect at Arize (arize.com).
Connect with them at:
- LinkedIn: linkedin.com/in/camyoung93
Connect with Arize
- Arize X(Twitter): x.com/arizeai
- Arize LinkedIn: linkedin.com/company/arizeai
Connect with the host — Sage Elliott: linkedin.com/in/sageelliott
About Union
Union’s mission: to orchestrate the processes required to train and run the most complex and dynamic machine learning and data products at scale.
💬 Join our AI and MLOps Slack Community: slack.flyte.org
⭐ Give Flyte a github star: github.com/flyteorg/flyte
Check out everything else we’re doing at Union.ai