How to build an excellent large language model from the macro level

  Hello everyone, I am herosunly. Graduated from the 985 college with a master's degree, he is currently working as an algorithm researcher, and is keen on the research and application of machine learning algorithms. He won the first place in the Aliyun Tianchi competition, the second place in the CCF competition, and the third place in the HKUST Xunfei competition. Has a number of invention patents. Have your own unique insights into machine learning and deep learning. I have coached several non-computer majors to enter the algorithm industry for employment. Hope to grow and progress together with you.

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  This article introduces the core content of how to build an excellent large language model from a macro level, hoping to help students who learn and use ChatGPT.

1. Common Misunderstandings

  Recently, I was communicating with some students who are new to large language models, and found that they have some common misunderstandings about the understanding of large models:

  1. The larger the number of model parameters, the better the effect of the model will be.
  2. The larger the amount of model fine-tuning data, the better the effect of the model.
  3. According to some reports or evaluation results at home and abroad, it shows that some existing models are close to or surpass ChatGPT&#x

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Origin blog.csdn.net/herosunly/article/details/130905326