Ottic Introduction
Ottic is a comprehensive platform for evaluating, testing, and monitoring LLM-powered applications with features like prompt management, test management, and user behavior analysis.
View MoreWhat is Ottic
Ottic is an AI-focused quality assurance platform designed to help teams develop and maintain reliable LLM-powered applications. It provides a suite of tools for managing prompts, creating and running tests, evaluating LLM performance, and monitoring user interactions. Ottic bridges the gap between technical and non-technical team members, enabling seamless collaboration in prompt engineering and LLM application development.
How does Ottic work?
Ottic offers a 360-degree view of the QA process for LLM applications. Users can visually manage prompts, moving away from hardcoded implementations. The platform allows for end-to-end test management, enabling teams to create comprehensive test suites that cover real-world scenarios. Tests can be broken down into granular steps to detect regressions. Ottic runs evaluations by sampling, optimizing budget while providing detailed insights into what went wrong. Additionally, it monitors user behavior in real-time, allowing teams to add chat sessions to their datasets and enhance test suites based on actual usage patterns. Ottic integrates with popular tools used by QA and engineering teams, streamlining the workflow across the organization.
Benefits of Ottic
By using Ottic, teams can significantly improve the reliability and performance of their LLM-powered applications. The platform helps reduce the risk of bugs and regressions, leading to better user experiences and reduced post-release debugging costs. Ottic's collaborative features enhance communication between technical and non-technical team members, speeding up the development process. The real-time monitoring and user behavior analysis allow for continuous improvement based on actual usage data. Furthermore, Ottic's enterprise-ready features, including SSO and granular permissions, ensure that organizations can scale their LLM QA processes securely across teams.
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