Artificial Intelligence
Fine-tuning
Definition
Fine-tuning is the glossaryProcessA process is a defined sequence of steps used to achieve a specific outcome.Open glossary term of further training a pre-trained glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term on specific glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term to improve performance for a particular task.
In practice
Used to adapt general glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term to specific domains, such as legal, medical, or e-commerce content.
The reality
Fine-tuning improves glossaryFaceted NavigationFaceted navigation is a system that allows users to filter content across multiple attributes simultaneously, combining different criteria to refine results.Open glossary term but requires quality glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term and careful management to avoid overfitting.
Plain English
Training a glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term to be better at a specific job.
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is fine-tuning in AI?
It is training a glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term further on specific glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term to improve glossaryPerformancePerformance refers to how quickly and efficiently a system responds to user actions and processes tasks.Open glossary term.
Why is fine-tuning used?
To make glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term more relevant to a specific task or domain.
What are risks of fine-tuning?
Overfitting and reduced general glossaryPerformancePerformance refers to how quickly and efficiently a system responds to user actions and processes tasks.Open glossary term.
What data is needed for fine-tuning?
High-quality, relevant, and well-labelled glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term.
Related Services
Related Guides
Related Terms