Arize Release Notes: New Copilot Skills, Local Explainability, and More.
Blog post from Arize
Arize has released new features and enhancements, including Copilot skills for custom metric writing and embedding summarization. Local Explainability Report is now available with table view and waterfall style plot for detailed per-feature SHAP values on individual predictions. Experiment Over Time Widget allows users to integrate experiment data directly into their dashboards. Full Function Calling Replay in Prompt Playground enables iterations of different functions within the Prompt Playground. Instrumentation Enhancements include Context Attribute Propagation, Typescript Trace Configuration, Vercel AI SDK integration, and LangChain Auto Instrumentation support for version 0.3. New content includes video tutorials, paper readings, ebooks, self-guided learning modules, and technical posts on Prompt Optimization Course, Evaluation Workflows to Accelerate Generative App Development and AI ROI, Swarm: OpenAI’s Experimental Approach to Multi-Agent Systems, LLM Evaluation Course, and Techniques for Self-Improving LLM Evals.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Coding Assistant | 7 | 423 | 80 | 49 | -17% |
| Vector Search | 3 | 2,600 | 253 | 90 | -44% |
| LLM | 2 | 2,876 | 370 | 130 | -20% |
| AI Guardrails | 1 | 182 | 56 | 29 | -32% |
| Multi-agent systems | 1 | 102 | 30 | 23 | - |
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