“ As a non-professional beginner, my initial interest in large models led me to explore related knowledge. As I read more papers and reports, I always wanted to practice with large models but didn’t know where to start. I believe many students share the same experience as I did back then. This article will guide you step by step on how to deploy and fine-tune a large model, taking the first step into practice.”
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Introduction to Fine-Tuning Techniques
Fine-tuning refers to the targeted optimization of a pre-trained model using specific domain data to enhance its performance on particular tasks. The core reason for fine-tuning is to endow the large model with more customized functionalities. While general large models are powerful, they may perform poorly in specific domains. Through fine-tuning, the model can better adapt to the needs and characteristics of specific fields, which helps achieve better performance on specific tasks.
Some may feel that fine-tuning large models is far from them, as the