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- เผยแพร่เมื่อ 7 ก.ย. 2024
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Here we are sharing most repeated Oracle Cloud Infrastructure 2024
Generative AI Professional certification (1Z0-1127-24) dumps, it will help you to prepare for generative ai certification.
The Oracle Cloud Infrastructure 2024 Generative AI Professional certification validates your ability to leverage Oracle Cloud Infrastructure (OCI) to build and deploy generative AI applications. This certification is ideal for IT professionals with experience in OCI who want to specialize in the rapidly growing field of generative AI. Generative AI allows computers to create entirely new content, from realistic images and videos to creative text formats like poems or scripts.
Oracle Cloud Generative AI Professional (1Z0-1127-24) Exam Questions Topics:
The 1Z0-1127-24 exam covers a range of generative AI concepts and their implementation within OCI. Here’s a breakdown of some key areas:
Generative AI Fundamentals: Understand the core concepts of generative AI, including different generative models and their capabilities.
Oracle Generative AI Service: Deep dive into the functionalities of Oracle’s Generative AI service, including building and managing Large Language Models (LLMs).
Retrieval Augmented Generation (RAG): Learn about RAG, a technique that combines retrieval-based and generative approaches for improved factual consistency.
LangChain Models: Explore LangChain, a framework for building creative text formats by chaining together different prompts and models.
Vector Databases and Semantic Search: Grasp the role of vector databases and semantic search in enabling efficient retrieval of relevant data for generative models.
Building, Deploying, and Evaluating LLM Applications: The exam will assess your ability to construct LLM applications using RAG and LangChain, deploy them within OCI, and evaluate their performance.
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Que 43 - Correct answer is A
Thanks for correcting 🙂
@@pandu7820 Here is why A is correct:
Large Language Models (LLMs) without Retrieval Augmented Generation (RAG) are typically self-supervised models that rely on their internal knowledge and representations learned during pretraining on a large text corpus. They generate responses based solely on the information encoded in their model, without accessing external databases or retrieval systems. This is in contrast to RAG-based models, which use an external database or retrieval system to augment their generation capabilities.
38 B) TO PENALIZE TOKENS THAT HAVE ALREADY APPEARED, BASED ON THE NUMBER OF TIMES THEY HAVE BEEN USED
Frequency penalties are a technique used in language models to control the repetition of tokens (words or subwords) and encourage more diverse output. The idea is to assign a penalty score to tokens that have already appeared in the text, with the frequency of their appearance determining the magnitude of the penalty. This helps to prevent the model from generating repetitive or unengaging text, and instead encourages it to use a wider range of vocabulary.
35 is D,
It doesn't remove training cost completely, but it adds efficient approach. SO reduced cost.
62) Which is a key characteristic of the annotation process used in T-Few fine-tuning?
A) T-Few fine tuning uses annotated data to adjust a fraction of model weights.
Que 38 - correct options should be B as per Oracle
Sorry that is my mistake The correct answer is b
Accuracy of this video is 98.57... good job:)
11B
The cosine similarity value between embeddings provides insights into their relationships in vector space:
1: The embeddings are identical in direction. They are perfectly similar and have the same meaning or representation.
0: The embeddings are orthogonal, meaning they are at a 90-degree angle to each other. This indicates no similarity or correlation between them.
-1: The embeddings are diametrically opposed, meaning they point in exactly opposite directions. This indicates a complete lack of similarity and an inverse relationship.
These values help in understanding how closely related or different the embeddings are in terms of their semantic or contextual meaning.
No in docs also mentioned option A
Que 35- correct answer is D
When using few-shot model prompting, the large language model (LLM) does not need to be retrained or use any additional computational resources. The examples provided in the prompt serve as a guide for the LLM to adapt its behavior and generate accurate outputs.
So, option C "IT ELIMINATES THE NEED FOR ANY TRAINING OR COMPUTATIONAL RESOURCES" is actually a correct
The answer to Q38 is option B and not Option C
Yes it's B not C
The correct answer for the 70 is B
The correct option for the primary use of LangSmith tracing is:
2. To debug issues in the language model outputs
Explanation:
LangSmith tracing is designed to help you:
Debug Issues: It provides detailed insights into how the model processes inputs and generates outputs. This helps in identifying and troubleshooting problems such as unexpected results, performance issues, or inefficient behavior.
Why Other Options Are Less Appropriate:
To analyze the reasoning process of the language models: While tracing can provide insights into the model’s behavior, its primary focus is on debugging and troubleshooting rather than in-depth reasoning analysis.
To generate test cases for the language models: LangSmith tracing does not directly generate test cases. Instead, it helps analyze the model’s performance when provided with test cases.
To monitor the performance of the language models: While tracing can provide performance insights, its main purpose is more focused on debugging specific issues rather than broad performance monitoring.
Thus, debugging issues in the language model outputs is the primary and most accurate use of LangSmith tracing.
Nice video. Tks.
Thanks for watching!
Today i have my exam in 2 hr these same questions will apear in the exam. ? is it 100% sure
are the questions same?
could you please share the pdf for it? I have sent a message on telegram but didn't get any response.
Hi Guys,
This Exame in ORACLE, this Supervisioned at WEBCAM?
This Possible Cheat on the Exam?
I guess somehow we can do it if you manage to hide ur phone from web cam
Why do not study as the others? the "gambiarra" is not the best way.
Is this working?
If i prepare these questions can i pass the exam ??
Q 43 answer is A, not B
43 A is correct
Que 54 - The correct answer is C
No mmr is the technique designed to balance between diversity in the set of retrieved documents
Answer to Q 70 is A not D
Bro can you please send me link to the pdf for this? I don't have telegram. :(
For 62 i think A is the right answer
For Q-51, the answer should be A .
No, once cross check
@pandu, can you please send ppt or PDF.Thanks
Msg me on telegram @technologycreator
Question 43: Ans A
@@NehaSharma-ew4mu I pinned the msg that already corrected me
Hello! Can I please have the PDF ?
Msg me on telegram @technologycreator
56) Which is not a category of pretrained foundational models available in the OCI Generative AI service?
B) Summarization models
@@SubtleDisastrousKaroakes no
It's Embedding
Hi can u please provide the pdf ?
Msg me on telegram @technologycreator
can you provide the ppt or pdf
Msg me on telegram @technologycreator
Hi bro,
Can you please provide ppt or pdf.
Thank you
Msg me on telegram @technologycreator
can you provide the ppt or pdf?
@@pandu7820 done
I also want pdf can you send it on mail?
Is it Online live Proctored exam? Am I allowed switch tab to search for answer?
It is online live proctored and you are not allowed to switch tabs
Will the question be same everytime?
Mostly