Monitoring LLMs in Production with Hugging Face and WhyLabs

Join this hands-on workshop to implement ML monitoring on Hugging Face models with [WhyLabs LangKit](https://whylabs.ai/blog/posts/get-early-access-to-the-first-purpose-built-monitoring-solution-for-llms).

**Register on Eventbrite for Live Link: [https://www.eventbrite.com/e/monitoring-llms-in-production-with-hugging-face-and-whylabs-tickets-753492956717?aff=R2MU](https://www.eventbrite.com/e/monitoring-llms-in-production-with-hugging-face-and-whylabs-tickets-753492956717?aff=R2MU)**

The ability to effectively monitor and manage large language models (LLMs) like GPT from OpenAI has become essential in the rapidly advancing field of AI. WhyLabs, in response to the growing demand, has created a powerful new tool, LangKit, to ensure LLM applications are monitored continuously and operated responsibly.

Join our workshop designed to equip you with the knowledge and skills to use LangKit with Hugging Face models. Guided by our team of experienced AI practitioners, you’ll learn how to evaluate, troubleshoot, and monitor large language models more effectively.

Once completed, you’ll also receive a certificate!

### This workshop will cover how to:

* Evaluate user interactions to monitor prompts, responses, and user interactions
* Configure acceptable limits to indicate things like malicious prompts, toxic responses, hallucinations, and jailbreak attempts.
* Set up monitors and alerts to help prevent undesirable behavior

### What you’ll need:

* A free WhyLabs account ([https://whylabs.ai/free](https://whylabs.ai/free))
* A Google account (for saving a Google Colab)

### Who should attend:

Anyone interested in building applications with LLMs, AI Observability, Model monitoring, MLOps, and DataOps! This workshop is designed to be approachable for most skill levels. Familiarity with machine learning and Python will be useful, but it’s not required to attend.

By the end of this workshop, you’ll be able to implement ML monitoring techniques to your large language models (LLMs) to catch deviations and biases.

Bring your curiosity and your questions. By the end of the workshop, you’ll leave with a new level of comfort and familiarity with LangKit and be ready to take your language model development and monitoring to the next level.

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