AI Cloud Services Pricing Models

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What is the basis for pricing in Amazon CodeGuru?

Number of lines of source code analyzed (correct)

Number of pages sent for processing

Search units used

Amount of storage and throughput used

Why are pre-trained models considered a cost-effective solution?

They require minimal human resources (correct)

They are available for all technologies

They are free to use

They guarantee 100% success rate

What is the alternative to training ML models mentioned in the text?

Reducing the complexity of the models

Hiring additional developers

Increasing server capacity

Using a pre-trained model (correct)

How is pricing determined in Microsoft Azure Cognitive Search?

Based on search units used Signup and view all the answers

Why are pre-trained models limited to specific technologies according to the text?

To ensure functionality and effectiveness Signup and view all the answers

What can reduce the risk of consuming significant resources when training an image classifier?

Using a pre-trained model as a basis Signup and view all the answers

What are the parameters that define the model structure, such as the number of layers of a neural network?

Hyperparameters Signup and view all the answers

Which type of parameters control the training process, like determining how many epochs to use when training a neural network?

Algorithm parameters Signup and view all the answers

What should model evaluation and tuning resemble according to the text?

A scientific experiment Signup and view all the answers

In practice, why are several models typically created and trained using different algorithms?

To choose the best model Signup and view all the answers

What are the results from evaluating the model performance metrics used for when adjusting the model settings?

To fit the model to data and improve its performance Signup and view all the answers

Which part of the model improvement process involves adjusting settings based on evaluation results to enhance performance?

Model tuning Signup and view all the answers

What does defining autonomy involve?

Being completely independent of human oversight and control Signup and view all the answers

What is the classification of fully self-driving cars according to the text?

Autonomous Signup and view all the answers

What is the primary function of autonomous vehicles to be situationally aware?

Use sensors and image processing Signup and view all the answers

Which approach has been found to be the most effective for achieving situational awareness in autonomous vehicles?

Machine learning, especially deep learning Signup and view all the answers

Why doesn't full autonomy often make sense in practice?

It may involve excessive risks or ethical concerns Signup and view all the answers

What characterizes an autonomous system based on the information provided?

"Smart" or "intelligent" incorporating AI-based components Signup and view all the answers

What may result in conflicting data labels from different annotators?

Subjective judgements made by data annotators Signup and view all the answers

In what situation can ML-based approaches to labeling lead to incorrect labels?

Probabilistic nature of ML-based approaches Signup and view all the answers

What type of errors can lack of required domain knowledge lead to?

Incorrect labeling Signup and view all the answers

Which factor can contribute to more errors in complex classification tasks?

Complexity of the task Signup and view all the answers

What can be a consequence of translation errors in data labeling?

Incorrect labeling in multiple languages Signup and view all the answers

What characteristic of ML-based approaches makes them prone to some incorrect labels?

Probabilistic nature Signup and view all the answers

What are the typical quality issues related to data in a dataset?

Wrong data, incomplete data, mislabeled data Signup and view all the answers

Which method is used for creating multiple split combinations according to the text?

Split-test Signup and view all the answers

What is one possible reason for incomplete data mentioned in the text?

Security issues Signup and view all the answers

What is the importance of evaluating/tuning in machine learning compared to testing?

Evaluating/tuning helps optimize model performance while testing assesses final model accuracy Signup and view all the answers

What does leave-one-out cross validation involve?

Repeatedly training on all samples except one Signup and view all the answers

Which issue pertains to incorrect or faulty sensor data according to the text?

Wrong data Signup and view all the answers