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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: https://github.com/Arize-ai/phoenix Learn More About the Guest and Arize: Cam Young is a Senior Solutions Architect at Arize (https://arize.com/). Connect with ​​them at: LinkedIn:   / camyoung93   Connect with Arize Arize X(Twitter): https://x.com/arizeai Arize LinkedIn:   / arizeai   Connect with the host - Sage Elliott:   / 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: https://slack.flyte.org/ ⭐ Give Flyte a github star: https://github.com/flyteorg/flyte Check out everything else we’re doing at Union.ai