Optimizing RAG Pipelines by fine-tuning custom embedding models on synthetic data with ZenML.

​​ZenML is an MLOps + LLMOps framework that makes your infrastructure and workflow metadata accessible to data science teams. Orchestrate your machine learning and training pipelines with ZenML in combination with powerful tools like distilabel and Argilla. Alex Strick van Linschoten will showcase how you can use synthetic data generated by distilabel to bootstrap embedding model fine-tuning and then use human feedback in Argilla to iteratively and continuously improve the model performance.