Online Access Free NCA-GENL Exam Questions

Why do we need positional encoding in transformer-based models?

• A.To reduce the dimensionality of the input data.
• B.To represent the order of elements in a sequence.
• C.To prevent overfitting of the model.
• D.To increase the throughput of the model.

Which of the following best describes Word2vec?

• A.A deep learning algorithm used to generate word embeddings from text data.
• B.A statistical technique used to analyze word frequency in a text corpus.
• C.A programming language used to build artificial intelligence models.
• D.A database management system designed for storing and querying word data.

Which of the following is a key characteristic of Rapid Application Development (RAD)?

• A.Minimal user feedback during the development process.
• B.Linear progression through predefined project phases.
• C.Iterative prototyping with active user involvement.
• D.Extensive upfront planning before any development.

In the context of language models, what does an autoregressive model predict?

• A.The probability of the next token using a Monte Carlo sampling of past tokens.
• B.The next token solely using recurrent network or LSTM cells.
• C.The probability of the next token by looking at the previous and future input tokens.
• D.The probability of the next token in a text given the previous tokens.

In the context of fine-tuning LLMs, which of the following metrics is most commonly used to assess the performance of a fine-tuned model?

• A.Accuracy on a validation set
• B.Number of layers
• C.Training duration
• D.Model size