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The DeepEval LLM Evaluation Platform Show more

Confident AI is an essential tool for companies looking to optimize and secure their language model applications. With its robust benchmarking capabilities, businesses can assess their LLM performance against industry standards and competitors. The app offers advanced safeguarding measures, ensuring that AI deployments are protected from vulnerabilities and biases. Its proprietary DeepEval technology provides precise metrics and adaptive guardrails to enhance the reliability and effectiveness of AI solutions. Suitable for organizations of all sizes, Confident AI simplifies the process of maintaining high-quality standards in AI applications. By leveraging Confident AI, businesses can confidently navigate the complexities of AI deployment, ensuring maximum efficiency and trustworthiness.
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Benchmark llms
Safeguard applications
Improve metrics
Best-in-class guardrails

Toolkit for adding programmable guardrails to LLM-based conversational AI

Programmable guardrails
Llm-based control
Enhanced chatbot safety

Framework for developing safe and reliable Generative AI applications Show more

Guardrails AI is a cutting-edge open-source framework that aims to revolutionize the development of Generative AI applications. It simplifies the often complex task of LLM (Large Language Model) response validation, ensuring more accurate and reliable outputs. The app enhances the development experience by improving reusability, allowing developers to focus on innovation rather than redundancy. With its array of robust operational features, Guardrails AI serves as a comprehensive toolkit, making the creation of AI applications more streamlined and efficient. This framework not only accelerates the development process but also promotes the crafting of sturdy and dependable generative AI solutions. Whether you're a developer seeking to refine AI model outputs or a team aiming to build resilient applications, Guardrails AI offers the tools needed to achieve high-quality results.
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Operational tools
Llm response validation
Improving reusability
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