Which term describes the numerical representations of real-world objects and concepts that AI and natural language processing (NLP) models use to improve understanding of textual information?
Answer(s): A
Embeddings are numerical representations of real-world objects and concepts that help AI and NLP models understand and work with textual information more effectively by capturing relationships and similarities between words or phrases. The other options do not describe this concept.
A company is developing a new model to predict the prices of specific items. The model performed well on the training dataset. When the company deployed the model to production, the model's performance decreased significantly.What should the company do to mitigate this problem?
Answer(s): C
Increasing the volume of data used in training helps the model generalize better to new, unseen data, reducing overfitting and improving performance in production. The other options either do not address the issue of model generalization or are unlikely to effectively solve the problem.
An AI practitioner has trained a model on a training dataset. The model performs well on the training data.However, the model does not perform well on evaluation data.What is the MOST likely cause of this issue?
Answer(s): D
Overfitting occurs when a model learns the training data too well, including noise and details that do not generalize. As a result, it performs well on training data but poorly on unseen evaluation data.
A company wants to upload customer service email messages to Amazon S3 to develop a business analysis application. The messages sometimes contain sensitive data. The company wants to receive an alert every time sensitive information is found.Which solution fully automates the sensitive information detection process with the LEAST development effort?
Amazon Macie is a fully managed data security and privacy service that uses machine learning to discover and protect sensitive data in Amazon S3. It can automatically detect sensitive information, such as personally identifiable information (PII) or financial data, and send alerts when such data is found. This approach minimizes development effort, as it does not require custom regex patterns or model development, and it is specifically designed to handle the scenario described.
A company wants to add generative AI functionality to its application by integrating a large language model(LLM). The responses from the LLM must be as deterministic and as stable as possible.Which solution meets these requirements?
The temperature hyperparameter directly controls the randomness of the LLM’s token sampling: setting it to 0forces greedy decoding, yielding the most likely next token every time and thus fully deterministic, stable outputs.
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