In this session, we will go beyond prompt engineering and explore the most efficient, no-code ways to customize LLMs for specific tasks and use cases. We’ll walk through practical techniques for adapting pretrained large language models - without training a model from scratch, writing code, or investing in expensive infrastructure.
