Finetuning LLMs Efficiently with Adapters

Why Finetuning LLMs? Large language models (LLMs) like BERT, GPT-3, GPT-4, LLaMA, and others are trained on a large corpus of data and have general knowledge. However, they may not perform as well on specific tasks without finetuning. For example, if you want to use a pretrained LLM for analyzing legal or medical documents, finetuning it on a corpus of legal documents can significantly improve the model's performance. (Interested readers can find an overview of different LLM finetuning methods in …

bert data documents example finetuning general gpt gpt-3 gpt-4 knowledge language language models large language models legal llama llm llms medical