1z0-1127-24 無料問題集「Oracle Cloud Infrastructure 2024 Generative AI Professional」

（A）For complicated semantical undemanding improvement

（B）For data sets with a few thousand samples or less

（C）For data sets with hundreds of thousands to millions of samples

（D）For models that require their own hosting dedicated Al duster

（A）Loss measures the total number of predictions made by a model.

（B）Loss is a measure that indicates how wrong the model's predictions are.

（C）Loss indicates how good a prediction is, and it should increase as the model improves.

（D）Loss describes the accuracy of the right predictions rather than the incorrect ones.

（A）A Large Language Model based agent that focuses on generating textual responses

（B）A Retrieval Augmented Generation (RAG) model that uses text as input and output

（C）A diffusion model that specializes in producing complex outputs.

（D）A language model that operates on a token-by-token output basis

（A）Temperature has no effect on probability distribution; it only changes the speed of decoding.

（B）Decreasing the temperature broadens the distribution, making less likely words more probable.

（C）Increasing the temperature flattens the distribution, allowing for more varied word choices.

（D）Increasing the temperature removes the impact of the most likely word.

（A）15 unit hours

（B）30 unit hours

（C）40 unit hours

（D）10 unit hours

（A）When the model requires continued pretraining on unlabeled data

（B）When there is a significant amount of labeled, task-specific data available

（C）When the model needs to be adapted to perform well in a domain on which it was not originally trained

（D）When there is a need to add learnable parameters to a Large Language Model (LLM) without task-specific training

（A）Shared among multiple customers for efficiency

（B）Stored in an unencrypted form in Object Storage

（C）Stored in Key Management service

（D）Stored in Object Storage encrypted by default