05.08.2023
New Releases, Enhancements, Changes + Arize in the News!
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New Releases, Enhancements, Changes + Arize in the News!
Last updated
Was this helpful?
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 .
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).
New additions focused on generative AI and other important topics include:
Arize AI was honored in the “On the Rise: 0-4 Years In Business” category of the World Changing Ideas awards for delivering tools that empower practitioners to achieve greater fairness in AI.
Sync Snowflake's Cloud Data with Arize to automatically monitor and analyze new model data. Learn how to connect Snowflake with Arize . Note: Snowflake Enterprise access is required to connect Snowflake with Arize. Snowflake standard account support coming soon.
Arize's self-guided continues to add modules and practical content on the emerging field of LLMOps along with other core topics.
: a guide on the essential elements of creating effective prompts
: starting with the iconic paper "Attention Is All You Need," we dive into common mechanisms, including self-attention
🪟 : learn the essentials of auditable AI system design across the ML project lifecycle
🧠 To Identify Drift: Can LLMs reduce the effort involved in anomaly and drift detection, sidestepping the need for parameterization or dedicated model training?
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 a few weeks ago by participating in a hackathon. Here's what we learned from building a plugin for LLM observability.
