Hugging Face and LangKit: Your Solution for LLM Observability

Hugging Face has partnered with LangKit to provide a solution for observability of large language models (LLMs). By using LangKit's open-source text metrics toolkit, developers can monitor and evaluate the behavior of Hugging Face LLMs. This integration allows users to implement guardrails, evaluations, and observability in their applications. The process involves installing Hugging Face transformers and LangKit, creating a GPT model function, generating example responses, and extracting language metrics using LangKit. These metrics can then be viewed and analyzed in the WhyLabs Observability Platform for monitoring LLMs over time.

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