How does AI adapt to new data?
An example of an AI chatbot conversation about AI's ability to learn from new information.
How does AI adapt to new data?
AI adapts to new data through processes like retraining, fine-tuning, and continuous learning.
Can you explain what retraining means?
Retraining involves updating the AI model with new data to improve its accuracy and performance.
What is fine-tuning in AI?
Fine-tuning is adjusting a pre-trained model on a smaller, specific dataset to enhance its performance for particular tasks.
How often should AI be retrained?
The frequency of retraining depends on the data changes; it can be periodic or triggered by significant data shifts.
What challenges do AI systems face when adapting to new data?
Challenges include data quality, model overfitting, and ensuring the model generalizes well to unseen data.
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