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?
What is the term used to define the process of a company using a pre-trained AI model and further training it with their own question-answer dataset?
Answer:
The process of a company using a pre-trained AI model and further training it with their own question-answer dataset is known as “Fine-tuning” or “Transfer Learning”. In fine-tuning, a pre-trained model, which has been trained on a large dataset, is adjusted or fine-tuned with a smaller, domain-specific dataset to improve its performance on a specific task. This process helps leverage the knowledge gained by the model during its initial training on a different task or dataset. By fine-tuning a pre-trained model with a new dataset, companies can achieve better results with less computational resources and training time compared to training a model from scratch.