Phoenix: ML Observability in a Notebook :fire::bir...
# 07-self-promotion
Phoenix: ML Observability in a Notebook 🔥🐦 Arize AI just launched Phoenix, an open-source ML observability library designed for the notebook. Who is it for: data scientists, ML engineers, prompt engineers Why is it relevant: Detecting data quality, drift, and performance issues is difficult, and figuring out the root-cause of such issues is even more challenging. Phoenix helps you uncover insights, surface problems, monitor, and fine-tune your generative LLM, CV, and tabular models. Learn more at the links below:HomepageGitHubDocsCommunity (join us in the #phoenix-support channel)
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