AI Model Development Platform

What is openlayer.com?

Openlayer serves as an evaluation tool designed to seamlessly integrate into development and production pipelines, facilitating the deployment of high-quality models with assurance. It offers robust testing, evaluation, and observability functionalities tailored specifically for large language models (LLMs). By employing Openlayer, users can approach the management of their LLM products akin to conventional software development practices.

How do I get started with openlayer.com?

To commence using Openlayer, adhere to the following steps:

1. Sign Up:
     - Navigate to the Openlayer website and register for an account.
     - Provide your email address and establish a password.

2. Create a Project:
     - Upon signing in, initiate a new project.
     - Assign a name and description to your project.

3. Add Your Model:
     - Upload your large language model (LLM) to the project.
     - Openlayer supports various LLMs such as GPT-3 or GPT-4.

4. Configure Tests:
     - Establish evaluation tests for your LLM.
     - Select from options including data quality, drift, and performance tests.
     - Specify thresholds for alerts.

5. Monitor and Iterate:
     - Track the performance of your LLM over time.
     - Make iterative adjustments to your model based on test outcomes.

6. Collaborate and Learn:
     - Engage with the Openlayer community on Discord for assistance and discussions.
     - Refer to the documentation for comprehensive guidelines.

Remember, Openlayer offers real-time alerts, secure deployment choices, and a commit-style versioning system to streamline your evaluation process. Happy evaluating!

How much does openlayer.com cost?

Openlayer offers two distinct pricing plans tailored to different user requirements:

1. Free Plan:
     - Suited for hobbyists or students.
     - Includes essential features to kickstart your journey with Openlayer:
      - 1 user
      - 1 project
      - Development and monitoring modes
      - Up to 100,000 monthly monitoring predictions
      - Community Discord support
      - Support for all supported AI task types

2. Custom Plan (Contact for Pricing):
     - Geared towards advanced ML teams.
     - Encompasses all features available in the Free Plan, with additional offerings:
      - 5+ users
      - Unlimited projects
      - Over 10 million annual predictions
      - SAML/SSO integration
      - Dedicated support channel
      - Custom metrics
      - Explainability features
      - On-premises deployment options

Feel free to explore the array of features provided by Openlayer and select the plan that aligns best with your specific needs.

What are the benefits of openlayer.com?

Using Openlayer yields several benefits:

1. Efficient Model Evaluation:
     - Seamlessly integrates into development and production pipelines.
     - Offers robust testing, evaluation, and observability for large language models (LLMs).
     - Facilitates easy monitoring of LLM performance and data quality.

2. Customizable Tests:
     - Provides a suite of data quality, drift, and performance tests.
     - Allows customization of thresholds for alerts according to specific requirements.

3. Version Control and Notifications:
     - Enables tracking and comparison of versions for models, datasets, and prompts.
     - Provides real-time updates on model performance, data anomalies, and team activities.

4. Secure Deployment:
     - Adheres to SOC 2 Type 2 compliant security standards.
     - Offers on-premise hosting options for added security.

5. Community and Support:
     - Access to the Openlayer community on Discord for comprehensive support.
     - Extensive documentation available for setup instructions and tutorials.

Feel free to explore Openlayer further, and don't hesitate to reach out if you have any additional questions.

What are the limitations of openlayer.com?

Although Openlayer offers robust capabilities for evaluating large language models (LLMs, it does come with certain limitations:

1. Learning Curve:
     - Openlayer has a steeper learning curve compared to simpler tools.
     - While it provides advanced features, it offers fewer examples compared to tools like Google Maps.

2. Android WebView Limitations:
     - When utilized within an Android WebView, Openlayer faces limitations regarding multi-touch navigation.
     - While the device may support multi-touch, WebView and the stock browser may not handle it optimally.
     - This issue has persisted since Android versions prior to 3.0.

3. Performance Issues (Webview):
     - Zoom operations in WebView can result in high CPU load, leading to temporary unresponsiveness of the application.
     - Certain devices, such as Samsung Galaxy S1 with Android 2.3.6, may experience more pronounced performance issues.
     - Newer devices, like Samsung Galaxy S3 with Android 4.0.4, exhibit better performance and support multitouch gestures by default.

4. Tile Rendering Criteria:
     - When integrating Openlayer with GeoWebCache (GeoServer), it's crucial to ensure that map tiles meet specific rendering criteria.
     - Accurate tile boundary alignment is essential for optimal performance.

Despite these limitations, Openlayer remains a valuable tool for ML model evaluation and data quality analysis. Users are encouraged to explore its features and adapt their approach accordingly.

How can Openlayer help in improving AI model quality and reliability?

Openlayer aids in enhancing AI model quality and reliability by offering comprehensive tools for testing, evaluation, and monitoring. It supports AI teams in systematically evaluating model performance and functionality. The tool provides real-time production monitoring, enabling the identification and resolution of issues swiftly. With customizable tests and a focus on data quality and model performance, Openlayer ensures AI systems are robust, reliable, and meet desired standards.

What makes Openlayer suitable for both startups and enterprises?

Openlayer is designed to cater to the needs of both startups and enterprises by offering scalable solutions for building and maintaining high-quality AI models. It provides seamless integration into existing workflows with support for favorite tools like Git, SDKs, REST APIs, and a CLI. Openlayer's comprehensive evaluation and monitoring features cater to both small-scale projects and large enterprise deployments, ensuring adaptability and flexibility across various industry demands.

How does Openlayer ensure secure deployment and data protection?

Openlayer ensures secure deployment and data protection through its adherence to SOC 2 Type 2 compliant security standards. It offers on-premise hosting options for added security measures. Additionally, Openlayer features safeguards such as ensuring outputs do not contain personally identifiable information (PII) and leveraging metrics like Ragas-based scores to measure response safety, ensuring that models operate within ethical boundaries and protect sensitive data.