We tackle the challenges of LLM analytics by utilizing open-source software and open machine learning models, granting you complete control over your data. This approach enables you to transform LLM data into valuable insights to improve your LLM application.
PostHog, the premier open source product analytics platform, is now enhanced with specialized extensions for LLM text analytics. Tailored for LLM applications, PostHog can also offer an unparalleled analytics experience, providing deep insights into user interactions for LLM applications. Fully open source, it grants complete data ownership and control, empowering developers to tailor their analytics to their exact needs. Whether you're looking to optimize user engagement, improve content relevance, or streamline application performance, this is the ultimate tool for unlocking the full potential of your LLM data.
Check project in GitHubDive into the core of LLM interaction analysis with our suite of open machine learning models optimized for speed and efficiency. These models are designed to identify and categorize key elements such as topics, emotions, toxicity, and events within LLM interactions. By providing access to these tools, we empower developers and analysts alike to enrich their applications with deep, actionable insights.
Check models in HuggingFace