007 Evaluations for Your Customer Assistant LLM Agent: No Time for Hallucinations

Evaluate and optimize an LLM customer assistant, ensuring it performs robustly, accurately, and with no hallucinations in real-world scenarios. Leverage the NeMo Evaluator Microservice to create unit tests to track Gen AI model quality continuously during the development:

Optimize accuracy in your local languages for multilingual deployments and AI sovereignty.
Employ LLM-as-a-judge to ensure truthfulness and toxicity.
Evaluate end-to-end RAG applications.

Master techniques for visualizing evaluation results, and use these insights to make informed decisions and improvements to your LLM agents. You'll have access to a k8s deployment of NeMo Microservices pipeline and NIM, which will be ready for experimentation.
Prerequisite(s):

Basic understanding of LLMs.
Basic understanding of evaluations.
Python.