Data used to teach and refine machine learning models.
Training Data is a dataset used to train machine learning models. It provides known inputs and outputs, allowing the model to learn over time. The quality and quantity of training data directly influence the performance and accuracy of the resulting model.
The better the training data represents real-world situations, the better the model will perform on unseen or new data.
Quality training data ensures that the machine learning model can learn the underlying patterns effectively. Poor quality or biased data can lead to inaccurate or skewed model predictions.
Training Data is used to train the model, while Test Data is used to evaluate the model's performance on unseen data. Test Data should not be used in the training phase to ensure a fair assessment of the model's capabilities.
An AI tool that provides potential customers with an immediate, automated price estimate for services based on their inputs.
A multi-channel approach to sales or customer service that provides an integrated and cohesive customer experience.
A format enabling structured data handling by AI models.
A technique or model that augments large language models with autonomous tool usage for enhanced reasoning and real-world actions.
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