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Oracle 1z0-1127-24 Exam Syllabus Topics:

Topic	Details
Topic 1	Using OCI Generative AI Service: For AI Specialists, this section covers dedicated AI clusters for fine-tuning and inference. The topic also focuses on the fundamentals of OCI Generative AI service, foundational models for Generation, Summarization, and Embedding.
Topic 2	Building an LLM Application with OCI Generative AI Service: For AI Engineers, this section covers Retrieval Augmented Generation (RAG) concepts, vector database concepts, and semantic search concepts. It also focuses on deploying an LLM, tracing and evaluating an LLM, and building an LLM application with RAG and LangChain.
Topic 3	Fundamentals of Large Language Models (LLMs): For AI developers and Cloud Architects, this topic discusses LLM architectures and LLM fine-tuning. Additionally, it focuses on prompts for LLMs and fundamentals of code models.

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Oracle Cloud Infrastructure 2024 Generative AI Professional Sample Questions (Q35-Q40):

NEW QUESTION # 35
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?

A. PromptTemplate requires a minimum of two variables to function property.
B. PromptTemplate can support only a single variable M a time.
C. PromptTemplate is unable to use any variables.
D. PromptTemplate supports Any number of variable*, including the possibility of having none.

Answer: D

Explanation:
The PromptTemplate in relation to input_variables is designed to be flexible and can support any number of variables, including the possibility of having none. This means that users can define a template with multiple variables or none at all, depending on their specific needs. The PromptTemplate facilitates dynamic prompt creation by inserting variable values into predefined template slots.
Reference
LangChain documentation on PromptTemplate
Examples and tutorials on using PromptTemplate in generative AI applications

NEW QUESTION # 36
In LangChain, which retriever search type is used to balance between relevancy and diversity?

A. similarity
B. similarity_score_threshold
C. mmr
D. top k

Answer: A

NEW QUESTION # 37
How does the architecture of dedicated Al clusters contribute to minimizing GPU memory overhead forT- Few fine-tuned model inference?

A. By sharing base model weights across multiple fine-tuned model's on the same group of GPUs
B. By optimizing GPIJ memory utilization for each model's unique para
C. By loading the entire model into G PU memory for efficient processing
D. By allocating separate GPUS for each model instance

Answer: A

Explanation:
The architecture of dedicated AI clusters contributes to minimizing GPU memory overhead for fine-tuned model inference by sharing base model weights across multiple fine-tuned models on the same group of GPUs. This approach allows different fine-tuned models to leverage the shared base model weights, reducing the memory requirements and enabling efficient use of GPU resources. By not duplicating the base model weights for each fine-tuned model, the system can handle more models simultaneously with lower memory overhead.
Reference
Technical documentation on AI cluster architectures
Research articles on optimizing GPU memory utilization in model inference

NEW QUESTION # 38
What is the primary purpose of LangSmith Tracing?

A. To monitor the performance of language models
B. To analyze the reasoning process of language
C. To generate test cases for language models
D. To debug issues in language model outputs

Answer: B

NEW QUESTION # 39
What does "k-shot prompting* refer to when using Large Language Models for task-specific applications?

A. Providing the exact k words in the prompt to guide the model's response
B. Limiting the model to only k possible outcomes or answers for a given task
C. The process of training the model on k different tasks simultaneously to improve its versatility
D. Explicitly providing k examples of the intended task in the prompt to guide the models output

Answer: D

NEW QUESTION # 40
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Prepare Exam With Latest Oracle 1z0-1127-24 Exam Questions

Oracle 1z0-1127-24 Exam Syllabus Topics:

Simplest Format of Oracle 1z0-1127-24 Exam PDF Practice Materials

Oracle Cloud Infrastructure 2024 Generative AI Professional Sample Questions (Q35-Q40):

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