Finite Element Analysis
Language Models and Natural Language Processing
The process of adapting a pre-trained AI model to perform better on specific tasks or domains.
Detailed Explanation
Fine-tuning involves taking a pre-trained language model and training it further on a targeted dataset relevant to a specific task or domain. This process allows the model to adapt its knowledge, improve accuracy, and better handle domain-specific language, nuances, or tasks, making it more effective for specialized applications without the need to develop a model from scratch.
Use Cases
- •Customizing a chatbot for medical advice by fine-tuning on healthcare datasets.
Related Terms
Other terms in the Language Models and Natural Language Processing category