What Is Scorecard?
Scorecard is a platform to support product teams and engineers build, evaluate and deploy Large Language Model (LLM) applications to production. Teams use Scorecard to ship faster with more confidence in the quality of their LLM applications. Our full-service platform offers features throughout the entire product lifecycle - from prompt engineering to evaluating and deploying your LLM application.
Why Clients Choose Scorecard 💡
“As a product manager SME, the ability to go into the platform to quickly test new prompts against datasets and see results at a larger scale (…) has been exceedingly helpful.” - Product Manager at Thomson Reuters
”I enjoy using Scorecard and find it really easy to use!” - Casetext Inc., a part of Thomson Reuters
”Scorecard has been an invaluable tool for the work I have been doing. It is mostly intuitive, easy to use and reliable.” - Thomson Reuters
Why Is LLM Quality Important?
Once an LLM application is deployed, your users interact with it and expect a good performance. The quality of a LLM is crucial for several reasons:
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Competitive Edge: Quality sets an LLM apart in a crowded market, making it a unique offering that users prefer.
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User Experience (UX): A high-quality LLM ensures a positive, consistent user experience, fostering trust and regular usage.
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Brand Reputation: Quality directly impacts a brand’s image. A top-notch LLM boosts reputation, while a flawed one can tarnish it, leading to unfavorable feedback.
How To Improve a LLM’s Quality
To ensure the quality of your LLM application, it’s essential to:
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Understand Your Patterns: It’s important to familiarize yourself with the usage patterns you’re working with. This will help you identify potential issues and areas of improvement, and develop a representative Testset to regularly test on.
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Feedback Loop: Encourage users to provide feedback. This will give you insights into areas that might need tweaking or improvement.
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Automate Testing: Implement automated testing to catch issues early on. This will save you time and resources in the long run.
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Regularly Review and Update: As with any application, regular reviews and updates are crucial. This ensures that your LLM remains relevant and up-to-date. Automated regression tests can help catch things like GPT-4 degrading over time.
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Stay Updated: The world of LLM is ever-evolving. Ensure you’re always updated with the latest trends and technologies to keep your application at the forefront.
Streamline Your Development Process With Scorecard 🔄
The LLM development process is a continuous cycle of developing, testing, deploying, and monitoring. By following this loop, you ensure that your application is always evolving and improving based on real-world feedback and needs.
Building With Scorecard 👷♀️
Scorecard provides a LLM Evaluation Framework that streamlines and shortens the development process. Our tools and features are designed to help you create a top-notch LLM application. From intuitive interfaces to detailed analytics, everything you need is right at your fingertips with Scorecard.
