New Releases, Enhancements, Changes + Arize in the News!

What's New

LLM Observability

Evaluate LLMs to detect hallucinations, inaccurate responses or bad prompts, and export clusters for fine-tuning or prompt engineering workflows. Learn more about the LLM model type here.

Snowflake Data Connector

Sync Snowflake's Cloud Data with Arize to automatically monitor and analyze new model data. Learn how to connect Snowflake with Arize here. Note: Snowflake Enterprise access is required to connect Snowflake with Arize. Snowflake standard account support coming soon.

Precision/Recall @ K

Use precision or recall @ k for a ranking model to evaluate how accurately the model retrieves relevant items within the top-k results. Focus on either the proportion of true positives (precision) or the proportion of true positives among all relevant items (recall).

In The News

๐ŸŽ“ New Course Updates!

Arize's self-guided ML observability course continues to add modules and practical content on the emerging field of LLMOps along with other core topics.

New additions focused on generative AI and other important topics include:

ChatGPT Plugins: Early Access

OpenAI will soon release its plugin system, which allows ChatGPT to interact with third-party applications. Thanks to our friend Erick Siavichay, we got early access to ChatGPT Plugins a few weeks ago by participating in a hackathon. Here's what we learned from building a plugin for LLM observability.

Fast Company Recognizes Arize

Arize AI was honored in the โ€œOn the Rise: 0-4 Years In Businessโ€ category of the World Changing Ideas awards for delivering tools that empower practitioners to achieve greater fairness in AI.

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