Fine-tuned Models on Domain-Specific Datasets: Fine-tuning is a process where a pretrained model is further trained (or “fine-tuned”) on a smaller, domain-specific dataset. This allows the model to adapt to new tasks with less data.

• Sentiment analysis
• Named entity recognition
• Question answering

For example, a pretrained BERT model can be fine-tuned for a sentiment analysis task.

• Fine-tuning a BERT model  |  Text  |  TensorFlow
• Fine-tuning – OpenAI API
• Fine-tune a pretrained model (huggingface.co)
• Fine-Tuning