Learn what fine-tuning is and how it can help you adapt a pre-trained AI model to your specific task or domain.
Single Choice Question
A company uses a pre-trained AI model and further trains it with their own question-answer dataset. Which term is used to define this process?
A. Content Generation
C. Sentiment Analysis
D. Prompt Engineering
Fine-tuning is a process of adapting a pre-trained AI model to a specific task or domain by further training it with a smaller dataset that is relevant to that task or domain. Fine-tuning can improve the performance and accuracy of the pre-trained model, as well as reduce the time and cost of training a new model from scratch.
For example, a company can use a pre-trained language model, such as BERT or GPT-3, that has been trained on a large corpus of text, and fine-tune it with their own question-answer dataset, to create a customized model that can answer questions related to their business domain.
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