QUESTION 10
Which role docs a “model end point” serve in the inference workflow of the OCI Generative AI service?

QUESTION 11
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?

QUESTION 12
Given the following code:
Prompt Template
(input_variable[”rhuman_input”,’city”], template-template)
Which statement is true about Promt Template in relation to input_variables?

QUESTION 13
Given the following prompts used with a Large Language Model, classify each as employing the Chain-of- Thought, Least-to-most, or Step-Back prompting technique.
L Calculate the total number of wheels needed for 3 cars. Cars have 4 wheels each. Then, use the total number of wheels to determine how many sets of wheels we can buy with $200 if one set (4 wheels) costs $50.
2. Solve a complex math problem by first identifying the formula needed, and then solve a simpler version of the problem before tackling the full question.
3. To understand the impact of greenhouse gases on climate change, let’s start by defining what greenhouse gases are. Next, well explore how they trap heat in the Earths atmosphere.

QUESTION 14
Given the following code: chain = prompt |11m

QUESTION 15
What is the primary function of the “temperature” parameter in the OCI Generative AI Generation models?

QUESTION 16
What is the purpose of the “stop sequence” parameter in the OCI Generative AI Generation models?

QUESTION 17
Which is the main characteristic of greedy decoding in the context of language model word prediction?

QUESTION 18
How does the integration of a vector database into Retrieval-Augmented Generation (RAG)-based Large Language Models(LLMS) fundamentally alter their responses?

QUESTION 19
In LangChain, which retriever search type is used to balance between relevancy and diversity?

QUESTION 20
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

QUESTION 21
ow do Dot Product and Cosine Distance differ in their application to comparing text embeddings in natural language?

QUESTION 22
Which Oracle Accelerated Data Science (ADS) class can be used to deploy a Large Language Model (LLM) application to OCI Data Science model deployment?

QUESTION 23
You create a fine-tuning dedicated AI cluster to customize a foundational model with your custom training dat a. How many unit hours arc required for fine-tuning if the cluster is active for 10 hours?

QUESTION 24
Which component of Retrieval-Augmented Generation (RAG) evaluates and prioritizes the information retrieved by the retrieval system?

QUESTION 25
Which is a key advantage of usingT-Few over Vanilla fine-tuning in the OCI Generative AI service?