In-Context Learning vs. Fine-Tuning vs. Continual Pretraining: Key Differences

In this video, we break down the distinctions between three important methods in AI: In-Context Learning (ICL), Fine-Tuning, and Continual Pretraining (CPT). Learn how each method works, their data requirements, costs, flexibility, and when to use them. We’ll cover: 1️⃣ What is In-Context Learning (ICL)? – Understand how examples in prompts guide models without altering parameters. 2️⃣ What is Fine-Tuning? – Explore how small datasets modify a model to perform specific tasks effectively. 3️⃣ What is Continual Pretraining (CPT)? – Discover how large-scale data enhances a model’s general knowle…