Introducing Arize Copilot: The First AI Assistant for AI

Arize Copilot stands out by providing an intelligent, integrated solution for model and application improvement. It reduces manual effort, accelerates troubleshooting, and offers advanced tools for LLM development and data curation, making it an invaluable assistant for data scientists and AI engineers.

Elevate Your AI Workflow with Arize Copilot

Arize Copilot revolutionizes your workflow by integrating traditional processes and automating complex tasks. The copilot surfaces relevant information and suggests actions, reducing the need for multiple steps and manual effort.

Versatile Skill Set

Arize Copilot offers high-level model insights, data quality analysis, and LLM-specific functionalities like evaluation summarization and retrieval process troubleshooting.

Advanced LLM Development

It identifies issues and patterns in your evaluation results, suggesting pre-built or custom evaluations.

Source: Arize Copilot

Prompt Optimization

In the prompt playground, It optimizes your prompts based on specific concerns or evaluation data.

Powerful Data Curation

Use its AI Search to curate data with natural language queries combined with traditional filters.

Explore these powerful features with Arize Copilot and transform the way you develop and optimize your models and applications.

Unleashing the Power of Arize Copilot: Workflows and Specifics

Get Model Insights

Have you ever run into an issue in production and felt overwhelmed by where to start? There are so many different factors that can cause an issue. Getting to the root of the problem can be painful, frustrating, and sometimes a complete time suck. With Arize Copilot, that’s no longer the case. It has skills that allow you to easily identify issues so you can efficiently manage your model’s performance and take action quickly.

Simply ask Arize Copilot for insights, and it will provide you with a high-level analysis of your model’s performance metrics, including trends over time, prediction volumes, and prediction drift. Once you have your high-level insights, you can start diving in with our many other debugging tools designed to help you isolate issues without taking a ton of manual steps.

Prompt Optimization

Arize Copilot
Source: Arize Copilot

A lot of LLM application development revolves around getting your prompt just right so that your application behaves as expected. The process involves a ton of back-and-forth testing, iterating, and observing how your changes affect the outcome. It’s exhausting. Rather than making countless manual modifications, what if the AI optimized itself? That’s where it comes in. It is the ultimate prompt optimization tool.

Simply prompt It with your goals or concerns, and it will look at a sample of data and optimize the prompt to address those goals or concerns. You can iterate with Arize, adding more criteria as you go until you are happy with the provided template. Then, take that to our playground, where you can test the prompt on your chosen dataset to observe the results.

No more iterating in code, running manual tests and reading notebooks or documentation to see whether your changes were successful or caused a defect. Arize Copilot takes the lift-off of having to get the best prompt and best responses, while Arize Prompt Playground provides the perfect testing infrastructure.

Prompt Optimization
Source: Arize Copilot

Build a Custom Eval

One of the most challenging aspects of building an LLM application is assessing performance. Human annotation is costly and time-consuming, and even user feedback can be sparse. As a result, using an LLM Judge has become a common method for evaluating LLM applications.

If you’ve decided to use an LLM as a judge but don’t know where to start with defining the evaluation criteria, Arize Copilot eliminates this concern. Arize Copilot can suggest one of our pre-built Phoenix templates for you. Sometimes these pre-built templates aren’t suitable for specialized tasks, but no worries. We’ve built a Custom Eval builder to help you create a custom evaluation for your task. Simply specify your goal or let Arize Copilot analyze your data and make suggestions. Arize Copilot will do the rest, creating tailored evaluations for your application.

AI Search with Arize Copilot

Have you ever felt overwhelmed by the sheer volume of data, struggling to pinpoint the exact information you need? Whether you’re developing a cutting-edge LLM application or refining a traditional machine-learning model, data search and curation can often feel like finding a needle in a haystack. This is where Arize Copilot’s AI Search feature shines.

Imagine you’re working on an LLM application that generates customer service responses. One day, you notice an increase in unfavorable feedback and want to know why. Traditionally, you would manually sift through countless records, trying to identify patterns or specific instances of “angry responses.” This process is not only time-consuming but also prone to human error.

LLM AI assistant
Source: Arize Copilot

Now, picture having an intelligent assistant that allows you to search and curate your data using natural language queries. You simply ask Arize Copilot to find “angry responses,” and it quickly identifies relevant traces, bringing those critical data points to the forefront. This not only saves you valuable time but also ensures you’re working with the most pertinent data, leading to more accurate and effective solutions.

The AI Search feature empowers users to search and curate their data effortlessly, using natural language queries. Combined with traditional filters, it enables seamless data management, ensuring you can quickly locate and utilize relevant data for your models.

Step Into the Future of AI Development with Arize Copilot

It is more than just a tool—it’s your partner in development. By integrating advanced AI capabilities, Arize Copilot not only simplifies your daily tasks but also propels you toward exceptional levels of efficiency and insight. Are you ready to transform your AI workflow? Join us now on the Arize platform. Start exploring it today!

How To Use Arize Copilot

Using Arize Copilot

It provides two different types of interaction: chat and mini-chat. Each mode is intended to improve your experience with the platform by incorporating AI-powered support right into your workflow.

Chat Interface

To utilize the full capabilities of Arize Copilot in chat mode, follow these steps:

  1. Navigate to any model within the Arize platform.
  2. Click the Copilot ✨ icon located at the bottom right of the screen to open the interface.
  3. Get started with Arize Copilot by:
    • Choose a quick action from the welcome screen.
    • Choosing an option from the slash menu.
    • Typing in a prompt or question directly.
  4. Access your chat history anytime through the Arize chat interface to revisit past interactions.

Mini-Chat

Mini-Chat enables you to use it conveniently in many portions of the Arize platform. Look for the sparkles icon to see where Copilot capabilities are accessible.

Current Mini Chat Applications:

Prompt Playground

  • Enter desired changes and click ‘Generate’.
  • In the optimization modal, make any necessary changes to improve your prompt.
  • Click ‘Accept’ to test the optimized prompt in the playground. If unsatisfied, click ‘Reject’ to revert to the original.

Task Eval Builder

  • From the Task Builder, select a model and choose “Define the eval using: Arize Copilot Eval Builder”.
  • Mini-Chat will prompt you to enter your criteria for a custom evaluation.
  • Once the eval template is generated, you can modify it further by adding any additional requirements.
  • Note: The template automatically includes an explanation. If you prefer not to have this, you can remove it manually.
  • Pro Tip: The more specific your criteria, the more tailored the eval template.

AI Search

  • Access the query filter bar at the top of the Tracing page.
  • From the filter drop-down, enter your search criteria in Mini Chat.
    • e.g., “find angry responses”, “frustrated user inquiries”
  • Arize Copilot conducts a semantic search on your data, returning the number of rows retrieved along with a summary.
  • After generating results, you can input different search criteria to refine the outcomes.
  • If you are satisfied with the results, click “Apply as Filter” to implement the filter on your traces.

By leveraging the capabilities of Arize Copilot, users can dramatically enhance their AI workflows, ensuring better model performance, efficient troubleshooting, and effective data management. Start exploring It today and experience the future of AI development.

Conclusion

It stands out as a comprehensive solution for AI performance monitoring, offering real-time insights, automated analysis, and robust explainability. By integrating Arize Copilot into their workflows, organizations can ensure their AI models remain accurate, reliable, and transparent, driving better outcomes and fostering greater trust in AI-driven processes. In an era where AI is becoming increasingly integral to business success, It is an indispensable tool for staying ahead of the curve.