Online Access Free 1Z0-1127-25 Exam Questions

When should you use the T-Few fine-tuning method for training a model?

• A.For complicated semantic understanding improvement
• B.For datasets with hundreds of thousands to millions of samples
• C.For datasets with a few thousand samples or less
• D.For models that require their own hosting dedicated AI cluster

Which is a key characteristic of Large Language Models (LLMs) without Retrieval Augmented Generation (RAG)?

• A.They cannot generate responses without fine-tuning.
• B.They use vector databases exclusively to produce answers.
• C.They always use an external database for generating responses.
• D.They rely on internal knowledge learned during pretraining on a large text corpus.

How are documents usually evaluated in the simplest form of keyword-based search?

• A.Based on the number of images and videos contained in the documents
• B.Based on the presence and frequency of the user-provided keywords
• C.According to the length of the documents
• D.By the complexity of language used in the documents

What does in-context learning in Large Language Models involve?

• A.Training the model using reinforcement learning
• B.Pretraining the model on a specific domain
• C.Adding more layers to the model
• D.Conditioning the model with task-specific instructions or demonstrations

How does the structure of vector databases differ from traditional relational databases?

• A.It is based on distances and similarities in a vector space.
• B.It is not optimized for high-dimensional spaces.
• C.It stores data in a linear or tabular format.
• D.It uses simple row-based data storage.