Fine-Tune Your LLM Without Maxing Out Your GPU | by John Adeojo | Aug…

How you can fine-tune your LLMs with limited hardware and a tight budget

With the success of ChatGPT, we have witnessed a surge in demand for bespoke large language models.

However, there has been a barrier to adoption. As these models are so large, it has been challenging for businesses, researchers, or hobbyists with a modest budget to customise them for their own datasets.

Now with innovations in parameter efficient fine-tuning (PEFT) methods, it is entirely possible to fine-tune large language models at a relatively low cost. In this article, I demonstrate how to achieve this in a Google Colab.

I anticipate that this article will prove valuable for practitioners, hobbyists, learners, and even hands-on start-up founders.

So, if you need to mock up a cheap prototype, test an idea, or create a cool data science project to stand out from the crowd — keep reading.

Businesses often have private datasets that drive some of their processes.

To give…