A company has documents that are missing some words because of a database error. The company wants to build an ML model that can suggest potential words to fill in the missing text.Which type of model meets this requirement?
Answer(s): D
BERT-based models are well-suited for natural language understanding tasks, including filling in missing words, because they use contextual information to predict missing tokens in a text. The other types of models are not designed for this type of text completion task.
A company wants to build an ML model to detect abnormal patterns in sensor data. The company does not have labeled data for training.Which ML method will meet these requirements?
Autoencoders are a type of unsupervised learning method used to detect abnormal patterns (anomalies) in sensor data when labeled data is not available. They learn to reconstruct normal patterns, making deviations(anomalies) easily detectable.
Which large language model (LLM) parameter controls the number of possible next words or tokens considered at each step of the text generation process?
Answer(s): B
The Top K parameter limits token sampling at each generation step to the K most probable next tokens. By choosing how many of the highest-probability candidates to consider, Top K directly controls the breadth of options the model evaluates when generating each token.
An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.Which type of FM should the AI practitioner use to power the search application?
Answer(s): A
A multi-modal embedding model can handle both text and image queries by embedding them into a shared space, enabling the search application to process and relate different data types. The other options are not suitable for handling both text and image inputs effectively.
A company is evaluating foundation models (FMs) to extract insights from unstructured datasets. The company wants to ensure maximum transparency for regulatory requirements. The company is considering open source models.Which statement presents an advantage of using open source models for transparency purposes?
Open source models can provide access to their architecture, source code, and implementation details. This visibility can improve transparency by allowing organizations to inspect how the model is built and better understand its design for governance, auditing, and regulatory review.
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