Fine-tuning vs RAG

In this episode we welcome back our good friend Demetrios from the MLOps Community to discuss fine-tuning vs. retrieval augmented generation. Along the way, we also chat about OpenAI Enterprise, results from the MLOps Community LLM survey, and the orchestration and evaluation of generative AI workloads.

ai ai workloads artificial intelligence changelog chat community computer vision deep learning discuss enterprise evaluation fine-tuning generative good llm machine learning mlops neural networks openai orchestration rag retrieval retrieval augmented generation survey workloads