Fine-Tuning vs. Frozen Embeddings: When to Adapt the LLM vs. the Sklearn Head - MachineLearningMastery.com
In this article, you will learn how to compare two strategies for adapting a large language model to a specific domain: fine-tuning with LoRA versus training a scikit-learn classifier on frozen embeddings.
MachineLearningMastery.com · Iván Palomares Carrascosa · https://www.facebook.com/MachineLearningMastery/