Q 31 to 40 : IZ0-1127-24 Generative AI certification | oracle certification | oracle generative ai
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Here we are sharing some Oracle Cloud Infrastructure 2024
Generative AI Professional certification (1Z0-1127-24) dump, it will help you to prepare for generative ai certification.
Generative AI Professional certification Questions (1Z0-1127-24):
31. How do Dot Product and Cosine Distance differ in their application to comparing text embeddings in natural language processing?
32. Which is a cost-related benefit of using vector databases with Large Language Models (LLMs)?
33. An AI development company is working on an advanced AI assistant capable of handling queries in a seamless manner. Their goal is to create an assistant that can analyze images provided by users and generate descriptive text, as well as take text descriptions and produce accurate visual representations. Considering the capabilities, which type of model would the company likely focus on integrating into their AI assistant?
34. Which statement best describes the role of encoder and decoder models in natural language processing?
35. What issue might arise from using small data sets with the Vanilla fine-tuning method in the OCI Generative AI service?
36. Which is a key characteristic of the annotation process used in T-Few fine-tuning?
37. When should you use the T-Few fine-tuning method for training a model?
38. Which is a key advantage of using T-Few over Vanilla fine-tuning in the OCI Generative AI service?
39. How does the utilization of T-Few transformer layers contribute to the efficiency of the fine-tuning process?
40. "What does ""Loss"" measure in the evaluation of OCI Generative AI fine-tuned models?
The difference between the accuracy of the model at the beginning of training and the accuracy of the deployed model"
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