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

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

31:19

Generating and cleaning a preference dataset for DPO / ORPO with LLMs and distilabel

49:15

Start a text classification project on the Hugging Face Hub with Argilla and SetFit

30:12

Ellamind on synthetic data generation with distilabel for pipelining and LLM finetuning

56:15

How to Optimize RAG Pipelines for Domain- and Enterprise-Specific Tasks

36:40

An introduction to distilabel for AI feedback and synthetic data generation

44:03

Image projects on Hugging Face: from fine-tuning CLIP models to synthetic image datasets

1:22:18

Building Production RAG Over Complex Documents

1:13:19

Building and Optimizing RAG Pipelines: Data Preprocessing, Embeddings, and Evaluation with ZenML