Choosing Between RAG, In-Context Learning, and Fine-Tuning in LLMs

In this video, we explore three powerful methodologies in AI: Retrieval-Augmented Generation (RAG), In-Context Learning (ICL), and Fine-Tuning. Learn how they work, their strengths, and when to use each in your projects. We’ll cover: 1️⃣ What is RAG? – Understand how external knowledge bases help LLMs generate accurate responses by filling in missing context. 2️⃣ What is In-Context Learning? – See how examples in prompts activate latent abilities without modifying the model. 3️⃣ What is Fine-Tuning? – Learn how training with task-specific data creates a new, specialized version of the model. …