Adapting with Fine-Tuning

The generic or base LLMs are often not suitable for enterprises as they want to adapt the model’s behavior to their organization. This can be done by fine-tuning the LLM. This chapter will introduce various fine tuning techniques. Additionally, you will also learn about the use cases where fine-tuning is required. You will also be able to brush up some concepts related to GPU. Finally, you will gain hand-on experience by fine tuning an LLM on a customized dataset.